Black-ScholesPricingandHedging - NTU · to the Black-Scholes PDE (6.2) in order to price a claim...
Transcript of Black-ScholesPricingandHedging - NTU · to the Black-Scholes PDE (6.2) in order to price a claim...
Chapter 6Black-Scholes Pricing and Hedging
The Black and Scholes (1973) PDE is a Partial Differential Equation whichis used for the pricing of vanilla options under absence of arbitrage and self-financing portfolio assumptions In this chapter we derive the Black-ScholesPDE and present its solution by the the heat kernel method with applicationto the pricing and hedging of European call and put options
61 The Black-Scholes PDE 20162 European Call Options 20663 European Put Options 21464 Market Terms and Data 21865 The Heat Equation 22266 Solution of the Black-Scholes PDE 227Exercises 230
61 The Black-Scholes PDE
In this chapter we work in a market based on a riskless asset with price(At)tisinR+ given by
At+dt minusAtAt
= rdt dAtAt
= rdt dAtdt
= rAt t isin R+
withAt = A0 ert t isin R+
and a risky asset with price (St)tisinR+ modeled using a geometric Brownianmotion defined from the equation
dStSt
= microdt+ σdBt t isin R+ (61)
with solution
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N Privault
St = S0 exp(σBt +
(microminus 1
2σ2)t
) t isin R+
cf Proposition 516
installpackages(quantmod)2 library(quantmod)
getSymbols(0005HKfrom=2016-02-15to=SysDate()src=yahoo)4 getSymbols(0005HKfrom=2016-02-15to=2017-05-11src=yahoo)
stock=Ad(`0005HK`)6 write(stock file = data_exp sep=n)
myTheme lt- chart_theme()myTheme$col$linecol lt- blue8 chart_Series(stock theme = myTheme)
add_TA(stock on=1 col=blue legend=NULLlwd=16)
The adjusted close price Ad() is the closing price after adjustments for ap-plicable splits and dividend distributions
The next Figure 61 presents a graph of underlying asset price market datawhich is compared to the geometric Brownian motion simulations of Fig-ures 55 and 56
Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May
Feb 152016
Apr 012016
May 032016
Jun 012016
Jul 042016
Aug 012016
Sep 012016
Oct 032016
Nov 012016
Dec 012016
Jan 032017
Feb 012017
Mar 012017
Apr 032017
May 022017
stock 2016minus02minus15 2017minus05minus10
38
40
42
44
46
48
50
52
54
56
38
40
42
44
46
48
50
52
54
56
40
45
50
55
60
65
70
Feb 16 May 16 Jul 16 Sep 16 Nov 16 Jan 17 Mar 17 May 17
St
0005HKemicrot
Fig 61 Graph of underlying market prices
1
15
2
25
3
35
4
0 01 02 03 04 05 06 07 08 09 10
S0=
St
t
St
1
15
2
25
3
35
4
0 01 02 03 04 05 06 07 08 09 10
S0=
St
t
Stert
Fig 62 Graph of simulated geometric Brownian motion
202
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Black-Scholes Pricing and Hedging
In the sequel we start by deriving the Black and Scholes (1973) Partial Dif-ferential Equation (PDE) for the value of a self-financing portfolio Note thatthe drift parameter micro in (61) is absent in the PDE (62) and it does notappear as well in the Black and Scholes (1973) formula (610)Proposition 61 Let (ηt ξt)tisinR+ be a portfolio strategy such that
(i) the porfolio strategy (ηt ξt)tisinR+ is self-financing
(ii) the portfolio value Vt = ηtAt + ξtSt takes the form
Vt = g(tSt) t isin R+
for some function g isin C12(R+ timesR+) of t and StThen the function g(tx) satisfies the Black and Scholes (1973) PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx) x gt 0 (62)
and ξt = ξt(St) is given by the partial derivative
ξt = ξt(St) =partg
partx(tSt) t isin R+ (63)
Proof (i) First we note that the self-financing condition (58) in Proposi-tion 59 implies
dVt = ηtdAt + ξtdSt
= rηtAtdt+ microξtStdt+ σξtStdBt (64)= rVtdt+ (microminus r)ξtStdt+ σξtStdBt
= rg(tSt)dt+ (microminus r)ξtStdt+ σξtStdBt
t isin R+ We now rewrite (518) under the form of an Itocirc process
St = S0 +w t
0vsds+
w t0usdBs t isin R+
as in (422) by taking
ut = σSt and vt = microSt t isin R+
(ii) By (424) the application of Itocircrsquos formula Theorem 423 to Vt = g(tSt)leads to
dVt = dg(tSt)
=partg
partt(tSt)dt+
partg
partx(tSt)dSt +
12 (dSt)
2 part2g
partx2 (tSt) 203
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N Privault
=partg
partt(tSt)dt+ vt
partg
partx(tSt)dt+ ut
partg
partx(tSt)dBt +
12 |ut|
2 part2g
partx2 (tSt)dt
=partg
partt(tSt)dt+ microSt
partg
partx(tSt)dt+
12σ
2S2tpart2g
partx2 (tSt)dt+ σStpartg
partx(tSt)dBt
(65)
By respective identification of the terms in dBt and dt in (64) and (65) wegetrg(tSt)dt+ (microminus r)ξtStdt =
partg
partt(tSt)dt+ microSt
partg
partx(tSt)dt+
12σ
2S2tpart2g
partx2 (tSt)dt
ξtStσdBt = Stσpartg
partx(tSt)dBt
hence rg(tSt) =
partg
partt(tSt) + rSt
partg
partx(tSt) +
12σ
2S2tpart2g
partx2 (tSt)
ξt =partg
partx(tSt) 0 6 t 6 T
(66)
which yields (62) after substituting St with x gt 0
The derivative giving ξt in (63) is called the Delta of the option price seeProposition 64 below The amount invested on the riskless asset is
ηtAt = Vt minus ξtSt = g(tSt)minus Stpartg
partx(tSt)
and ηt is given by
ηt =Vt minus ξtSt
At
=1At
(g(tSt)minus St
partg
partx(tSt)
)=
1A0 ert
(g(tSt)minus St
partg
partx(tSt)
)
In the next Proposition 62 we add a terminal condition g(T x) = f(x)to the Black-Scholes PDE (62) in order to price a claim payoff C of theform C = h(ST ) As in the discrete-time case the arbitrage price πt(C) attime t isin [0T ] of the claim payoff C is defined to be the value Vt of theself-financing portfolio hedging C
Proposition 62 The arbitrage price πt(C) at time t isin [0T ] of the (vanilla)option with payoff C = h(ST ) is given by πt(C) = g(tSt) and the hedging
204
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Black-Scholes Pricing and Hedging
allocation ξt is given by the partial derivative (63) where the function g(tx)is solution of the following Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) x gt 0(67)
Proof Proposition 61 shows that the solution g(tx) of (62) g isin C12(R+timesR+) represents the value Vt = ηtAt + ξtSt = g(tSt) t isin R+ of a self-financing portfolio strategy (ηt ξt)tisinR+ By Definition 31 πt(C) = Vt =g(tSt) is the arbitrage price at time t isin [0T ] of the vanilla option withpayoff C = h(ST )
The absence of the drift parameter micro from the PDE (67) can be understoodin the next forward contract example in which the claim payoff can be hedgedby leveraging on the value St of the underlying asset independently of thetrend parameter micro
Example - forward contracts
When C = ST minusK is the (linear) payoff function of a long forward contractie h(x) = xminusK the Black-Scholes PDE (67) admits the easy solution
g(tx) = xminusK eminus(Tminust)r x gt 0 0 6 t 6 T (68)
showing that the price at time t of the forward contract with payoff C =ST minusK is
St minusK eminus(Tminust)r x gt 0 0 6 t 6 T
In addition the Delta of the option price is given by
ξt =partg
partx(tSt) = 1 0 6 t 6 T
which leads to a static ldquohedge and forgetrdquo strategy cf Exercise 67 Theforward contract can be realized by the option issuer as followsa) At time t receive the option premium Vt = St minus eminus(Tminust)rK from the
option buyerb) Borrow eminus(Tminust)rK from the bank to be refunded at maturityc) Buy the risky asset using the amount Stminus eminus(Tminust)rK + eminus(Tminust)rK = Std) Hold the risky asset until maturity (do nothing constant portfolio strat-
egy)e) At maturity T hand in the asset to the option holder who will pay the
amount K in return 205
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
f) Use the amountK = e(Tminust)r eminus(Tminust)rK to refund the lender of eminus(Tminust)rKborrowed at time t
Another way to compute the option premium Vt is to state that the amountVtminusSt has to be borrowed at time t in order to purchase the asset and thatthe asset price K received at maturity T should be used to refund the loanwhich yields
(Vt minus St) eminus(Tminust)r = K 0 6 t 6 T
Forward contracts can be used for physical delivery eg for live cattle In thecase of European options the basic ldquohedge and forgetrdquo constant strategy
ξt = 1 ηt = η0 0 6 t 6 T
will hedge the option only if
ST + η0AT gt (ST minusK)+
ie if minusη0AT 6 K 6 ST
Future contracts
For a future contract expiring at time T we take K = S0 erT and the contractis usually quoted at time t in terms of the forward price
e(Tminust)r(St minusK eminus(Tminust)r
)= e(Tminust)rSt minusK = e(Tminust)rSt minus S0 erT
discounted at time T or simply using e(Tminust)rSt Future contracts are non-deliverable forward contracts which are ldquomarked to marketrdquo at each timestep via a cash flow exchange between the two parties ensuring that theabsolute difference | e(Tminust)rSt minusK| is being credited to the buyerrsquos accountif e(Tminust)rSt gt K or to the sellerrsquos account if e(Tminust)rSt lt K
62 European Call Options
Recall that in the case of the European call option with strike price K thepayoff function is given by h(x) = (xminusK)+ and the Black-Scholes PDE (67)reads
rgc(tx) =partgcpartt
(tx) + rxpartgcpartx
(tx) + 12σ
2x2 part2gcpartx2 (tx)
gc(T x) = (xminusK)+(69)
The next proposition will be proved in Sections 65 and 66 see Proposi-tion 611
206
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Black-Scholes Pricing and Hedging
Proposition 63 The solution of the PDE (69) is given by the Black-Scholes formula for call options
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
(610)with
d+(T minus t) =log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
(611)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
0 6 t lt T (612)
We note the relation
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t 0 6 t lt T (613)
Here ldquologrdquo denotes the natural logarithm ldquolnrdquo and
Φ(x) = P(X 6 x) =1radic2π
w xminusinfin
eminusy22dy x isin R
denotes the standard Gaussian Cumulative Distribution Function (CDF) ofa standard normal random variable X N (0 1) with the relation
Φ(minusx) = 1minusΦ(x) x isin R (614)
0
02
04
06
08
1
12
-4 -3 -2 -1 0 1 2 3 4
Φ(x)
x
1Gaussian CDF Φ(x)
Fig 63 Graph of the Gaussian CDF
In other words the European call option with strike price K and maturityT is priced at time t isin [0T ] as
gc(tSt) = Bl(KStσ rT minus t)= StΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) 0 6 t 6 T
207
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
The following R script is an implementation of the Black-Scholes formula forEuropean call options in Rlowast
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 lt- d1 - sigma sqrt(T)BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)
5 BSCall
In comparison with the discrete-time Cox-Ross-Rubinstein (CRR) model ofSection 26 the interest in the formula (610) is to provide an analytical so-lution that can be evaluated in a single step which is computationally muchmore efficient
Fig 64 Graph of the Black-Scholes call price map with strike price K = 100dagger
Figure 64 presents an interactive graph of the Black-Scholes call price mapie the solution
(tx) 7minusrarr gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)of the Black-Scholes PDE (67) for a call optionlowast Download the corresponding that can be run heredagger Right-click on the figure for interaction and ldquoFull Screen Multimediardquo view
208
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
St = S0 exp(σBt +
(microminus 1
2σ2)t
) t isin R+
cf Proposition 516
installpackages(quantmod)2 library(quantmod)
getSymbols(0005HKfrom=2016-02-15to=SysDate()src=yahoo)4 getSymbols(0005HKfrom=2016-02-15to=2017-05-11src=yahoo)
stock=Ad(`0005HK`)6 write(stock file = data_exp sep=n)
myTheme lt- chart_theme()myTheme$col$linecol lt- blue8 chart_Series(stock theme = myTheme)
add_TA(stock on=1 col=blue legend=NULLlwd=16)
The adjusted close price Ad() is the closing price after adjustments for ap-plicable splits and dividend distributions
The next Figure 61 presents a graph of underlying asset price market datawhich is compared to the geometric Brownian motion simulations of Fig-ures 55 and 56
Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May
Feb 152016
Apr 012016
May 032016
Jun 012016
Jul 042016
Aug 012016
Sep 012016
Oct 032016
Nov 012016
Dec 012016
Jan 032017
Feb 012017
Mar 012017
Apr 032017
May 022017
stock 2016minus02minus15 2017minus05minus10
38
40
42
44
46
48
50
52
54
56
38
40
42
44
46
48
50
52
54
56
40
45
50
55
60
65
70
Feb 16 May 16 Jul 16 Sep 16 Nov 16 Jan 17 Mar 17 May 17
St
0005HKemicrot
Fig 61 Graph of underlying market prices
1
15
2
25
3
35
4
0 01 02 03 04 05 06 07 08 09 10
S0=
St
t
St
1
15
2
25
3
35
4
0 01 02 03 04 05 06 07 08 09 10
S0=
St
t
Stert
Fig 62 Graph of simulated geometric Brownian motion
202
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
In the sequel we start by deriving the Black and Scholes (1973) Partial Dif-ferential Equation (PDE) for the value of a self-financing portfolio Note thatthe drift parameter micro in (61) is absent in the PDE (62) and it does notappear as well in the Black and Scholes (1973) formula (610)Proposition 61 Let (ηt ξt)tisinR+ be a portfolio strategy such that
(i) the porfolio strategy (ηt ξt)tisinR+ is self-financing
(ii) the portfolio value Vt = ηtAt + ξtSt takes the form
Vt = g(tSt) t isin R+
for some function g isin C12(R+ timesR+) of t and StThen the function g(tx) satisfies the Black and Scholes (1973) PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx) x gt 0 (62)
and ξt = ξt(St) is given by the partial derivative
ξt = ξt(St) =partg
partx(tSt) t isin R+ (63)
Proof (i) First we note that the self-financing condition (58) in Proposi-tion 59 implies
dVt = ηtdAt + ξtdSt
= rηtAtdt+ microξtStdt+ σξtStdBt (64)= rVtdt+ (microminus r)ξtStdt+ σξtStdBt
= rg(tSt)dt+ (microminus r)ξtStdt+ σξtStdBt
t isin R+ We now rewrite (518) under the form of an Itocirc process
St = S0 +w t
0vsds+
w t0usdBs t isin R+
as in (422) by taking
ut = σSt and vt = microSt t isin R+
(ii) By (424) the application of Itocircrsquos formula Theorem 423 to Vt = g(tSt)leads to
dVt = dg(tSt)
=partg
partt(tSt)dt+
partg
partx(tSt)dSt +
12 (dSt)
2 part2g
partx2 (tSt) 203
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
=partg
partt(tSt)dt+ vt
partg
partx(tSt)dt+ ut
partg
partx(tSt)dBt +
12 |ut|
2 part2g
partx2 (tSt)dt
=partg
partt(tSt)dt+ microSt
partg
partx(tSt)dt+
12σ
2S2tpart2g
partx2 (tSt)dt+ σStpartg
partx(tSt)dBt
(65)
By respective identification of the terms in dBt and dt in (64) and (65) wegetrg(tSt)dt+ (microminus r)ξtStdt =
partg
partt(tSt)dt+ microSt
partg
partx(tSt)dt+
12σ
2S2tpart2g
partx2 (tSt)dt
ξtStσdBt = Stσpartg
partx(tSt)dBt
hence rg(tSt) =
partg
partt(tSt) + rSt
partg
partx(tSt) +
12σ
2S2tpart2g
partx2 (tSt)
ξt =partg
partx(tSt) 0 6 t 6 T
(66)
which yields (62) after substituting St with x gt 0
The derivative giving ξt in (63) is called the Delta of the option price seeProposition 64 below The amount invested on the riskless asset is
ηtAt = Vt minus ξtSt = g(tSt)minus Stpartg
partx(tSt)
and ηt is given by
ηt =Vt minus ξtSt
At
=1At
(g(tSt)minus St
partg
partx(tSt)
)=
1A0 ert
(g(tSt)minus St
partg
partx(tSt)
)
In the next Proposition 62 we add a terminal condition g(T x) = f(x)to the Black-Scholes PDE (62) in order to price a claim payoff C of theform C = h(ST ) As in the discrete-time case the arbitrage price πt(C) attime t isin [0T ] of the claim payoff C is defined to be the value Vt of theself-financing portfolio hedging C
Proposition 62 The arbitrage price πt(C) at time t isin [0T ] of the (vanilla)option with payoff C = h(ST ) is given by πt(C) = g(tSt) and the hedging
204
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
allocation ξt is given by the partial derivative (63) where the function g(tx)is solution of the following Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) x gt 0(67)
Proof Proposition 61 shows that the solution g(tx) of (62) g isin C12(R+timesR+) represents the value Vt = ηtAt + ξtSt = g(tSt) t isin R+ of a self-financing portfolio strategy (ηt ξt)tisinR+ By Definition 31 πt(C) = Vt =g(tSt) is the arbitrage price at time t isin [0T ] of the vanilla option withpayoff C = h(ST )
The absence of the drift parameter micro from the PDE (67) can be understoodin the next forward contract example in which the claim payoff can be hedgedby leveraging on the value St of the underlying asset independently of thetrend parameter micro
Example - forward contracts
When C = ST minusK is the (linear) payoff function of a long forward contractie h(x) = xminusK the Black-Scholes PDE (67) admits the easy solution
g(tx) = xminusK eminus(Tminust)r x gt 0 0 6 t 6 T (68)
showing that the price at time t of the forward contract with payoff C =ST minusK is
St minusK eminus(Tminust)r x gt 0 0 6 t 6 T
In addition the Delta of the option price is given by
ξt =partg
partx(tSt) = 1 0 6 t 6 T
which leads to a static ldquohedge and forgetrdquo strategy cf Exercise 67 Theforward contract can be realized by the option issuer as followsa) At time t receive the option premium Vt = St minus eminus(Tminust)rK from the
option buyerb) Borrow eminus(Tminust)rK from the bank to be refunded at maturityc) Buy the risky asset using the amount Stminus eminus(Tminust)rK + eminus(Tminust)rK = Std) Hold the risky asset until maturity (do nothing constant portfolio strat-
egy)e) At maturity T hand in the asset to the option holder who will pay the
amount K in return 205
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
f) Use the amountK = e(Tminust)r eminus(Tminust)rK to refund the lender of eminus(Tminust)rKborrowed at time t
Another way to compute the option premium Vt is to state that the amountVtminusSt has to be borrowed at time t in order to purchase the asset and thatthe asset price K received at maturity T should be used to refund the loanwhich yields
(Vt minus St) eminus(Tminust)r = K 0 6 t 6 T
Forward contracts can be used for physical delivery eg for live cattle In thecase of European options the basic ldquohedge and forgetrdquo constant strategy
ξt = 1 ηt = η0 0 6 t 6 T
will hedge the option only if
ST + η0AT gt (ST minusK)+
ie if minusη0AT 6 K 6 ST
Future contracts
For a future contract expiring at time T we take K = S0 erT and the contractis usually quoted at time t in terms of the forward price
e(Tminust)r(St minusK eminus(Tminust)r
)= e(Tminust)rSt minusK = e(Tminust)rSt minus S0 erT
discounted at time T or simply using e(Tminust)rSt Future contracts are non-deliverable forward contracts which are ldquomarked to marketrdquo at each timestep via a cash flow exchange between the two parties ensuring that theabsolute difference | e(Tminust)rSt minusK| is being credited to the buyerrsquos accountif e(Tminust)rSt gt K or to the sellerrsquos account if e(Tminust)rSt lt K
62 European Call Options
Recall that in the case of the European call option with strike price K thepayoff function is given by h(x) = (xminusK)+ and the Black-Scholes PDE (67)reads
rgc(tx) =partgcpartt
(tx) + rxpartgcpartx
(tx) + 12σ
2x2 part2gcpartx2 (tx)
gc(T x) = (xminusK)+(69)
The next proposition will be proved in Sections 65 and 66 see Proposi-tion 611
206
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Proposition 63 The solution of the PDE (69) is given by the Black-Scholes formula for call options
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
(610)with
d+(T minus t) =log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
(611)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
0 6 t lt T (612)
We note the relation
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t 0 6 t lt T (613)
Here ldquologrdquo denotes the natural logarithm ldquolnrdquo and
Φ(x) = P(X 6 x) =1radic2π
w xminusinfin
eminusy22dy x isin R
denotes the standard Gaussian Cumulative Distribution Function (CDF) ofa standard normal random variable X N (0 1) with the relation
Φ(minusx) = 1minusΦ(x) x isin R (614)
0
02
04
06
08
1
12
-4 -3 -2 -1 0 1 2 3 4
Φ(x)
x
1Gaussian CDF Φ(x)
Fig 63 Graph of the Gaussian CDF
In other words the European call option with strike price K and maturityT is priced at time t isin [0T ] as
gc(tSt) = Bl(KStσ rT minus t)= StΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) 0 6 t 6 T
207
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
The following R script is an implementation of the Black-Scholes formula forEuropean call options in Rlowast
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 lt- d1 - sigma sqrt(T)BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)
5 BSCall
In comparison with the discrete-time Cox-Ross-Rubinstein (CRR) model ofSection 26 the interest in the formula (610) is to provide an analytical so-lution that can be evaluated in a single step which is computationally muchmore efficient
Fig 64 Graph of the Black-Scholes call price map with strike price K = 100dagger
Figure 64 presents an interactive graph of the Black-Scholes call price mapie the solution
(tx) 7minusrarr gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)of the Black-Scholes PDE (67) for a call optionlowast Download the corresponding that can be run heredagger Right-click on the figure for interaction and ldquoFull Screen Multimediardquo view
208
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
In the sequel we start by deriving the Black and Scholes (1973) Partial Dif-ferential Equation (PDE) for the value of a self-financing portfolio Note thatthe drift parameter micro in (61) is absent in the PDE (62) and it does notappear as well in the Black and Scholes (1973) formula (610)Proposition 61 Let (ηt ξt)tisinR+ be a portfolio strategy such that
(i) the porfolio strategy (ηt ξt)tisinR+ is self-financing
(ii) the portfolio value Vt = ηtAt + ξtSt takes the form
Vt = g(tSt) t isin R+
for some function g isin C12(R+ timesR+) of t and StThen the function g(tx) satisfies the Black and Scholes (1973) PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx) x gt 0 (62)
and ξt = ξt(St) is given by the partial derivative
ξt = ξt(St) =partg
partx(tSt) t isin R+ (63)
Proof (i) First we note that the self-financing condition (58) in Proposi-tion 59 implies
dVt = ηtdAt + ξtdSt
= rηtAtdt+ microξtStdt+ σξtStdBt (64)= rVtdt+ (microminus r)ξtStdt+ σξtStdBt
= rg(tSt)dt+ (microminus r)ξtStdt+ σξtStdBt
t isin R+ We now rewrite (518) under the form of an Itocirc process
St = S0 +w t
0vsds+
w t0usdBs t isin R+
as in (422) by taking
ut = σSt and vt = microSt t isin R+
(ii) By (424) the application of Itocircrsquos formula Theorem 423 to Vt = g(tSt)leads to
dVt = dg(tSt)
=partg
partt(tSt)dt+
partg
partx(tSt)dSt +
12 (dSt)
2 part2g
partx2 (tSt) 203
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
=partg
partt(tSt)dt+ vt
partg
partx(tSt)dt+ ut
partg
partx(tSt)dBt +
12 |ut|
2 part2g
partx2 (tSt)dt
=partg
partt(tSt)dt+ microSt
partg
partx(tSt)dt+
12σ
2S2tpart2g
partx2 (tSt)dt+ σStpartg
partx(tSt)dBt
(65)
By respective identification of the terms in dBt and dt in (64) and (65) wegetrg(tSt)dt+ (microminus r)ξtStdt =
partg
partt(tSt)dt+ microSt
partg
partx(tSt)dt+
12σ
2S2tpart2g
partx2 (tSt)dt
ξtStσdBt = Stσpartg
partx(tSt)dBt
hence rg(tSt) =
partg
partt(tSt) + rSt
partg
partx(tSt) +
12σ
2S2tpart2g
partx2 (tSt)
ξt =partg
partx(tSt) 0 6 t 6 T
(66)
which yields (62) after substituting St with x gt 0
The derivative giving ξt in (63) is called the Delta of the option price seeProposition 64 below The amount invested on the riskless asset is
ηtAt = Vt minus ξtSt = g(tSt)minus Stpartg
partx(tSt)
and ηt is given by
ηt =Vt minus ξtSt
At
=1At
(g(tSt)minus St
partg
partx(tSt)
)=
1A0 ert
(g(tSt)minus St
partg
partx(tSt)
)
In the next Proposition 62 we add a terminal condition g(T x) = f(x)to the Black-Scholes PDE (62) in order to price a claim payoff C of theform C = h(ST ) As in the discrete-time case the arbitrage price πt(C) attime t isin [0T ] of the claim payoff C is defined to be the value Vt of theself-financing portfolio hedging C
Proposition 62 The arbitrage price πt(C) at time t isin [0T ] of the (vanilla)option with payoff C = h(ST ) is given by πt(C) = g(tSt) and the hedging
204
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
allocation ξt is given by the partial derivative (63) where the function g(tx)is solution of the following Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) x gt 0(67)
Proof Proposition 61 shows that the solution g(tx) of (62) g isin C12(R+timesR+) represents the value Vt = ηtAt + ξtSt = g(tSt) t isin R+ of a self-financing portfolio strategy (ηt ξt)tisinR+ By Definition 31 πt(C) = Vt =g(tSt) is the arbitrage price at time t isin [0T ] of the vanilla option withpayoff C = h(ST )
The absence of the drift parameter micro from the PDE (67) can be understoodin the next forward contract example in which the claim payoff can be hedgedby leveraging on the value St of the underlying asset independently of thetrend parameter micro
Example - forward contracts
When C = ST minusK is the (linear) payoff function of a long forward contractie h(x) = xminusK the Black-Scholes PDE (67) admits the easy solution
g(tx) = xminusK eminus(Tminust)r x gt 0 0 6 t 6 T (68)
showing that the price at time t of the forward contract with payoff C =ST minusK is
St minusK eminus(Tminust)r x gt 0 0 6 t 6 T
In addition the Delta of the option price is given by
ξt =partg
partx(tSt) = 1 0 6 t 6 T
which leads to a static ldquohedge and forgetrdquo strategy cf Exercise 67 Theforward contract can be realized by the option issuer as followsa) At time t receive the option premium Vt = St minus eminus(Tminust)rK from the
option buyerb) Borrow eminus(Tminust)rK from the bank to be refunded at maturityc) Buy the risky asset using the amount Stminus eminus(Tminust)rK + eminus(Tminust)rK = Std) Hold the risky asset until maturity (do nothing constant portfolio strat-
egy)e) At maturity T hand in the asset to the option holder who will pay the
amount K in return 205
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
f) Use the amountK = e(Tminust)r eminus(Tminust)rK to refund the lender of eminus(Tminust)rKborrowed at time t
Another way to compute the option premium Vt is to state that the amountVtminusSt has to be borrowed at time t in order to purchase the asset and thatthe asset price K received at maturity T should be used to refund the loanwhich yields
(Vt minus St) eminus(Tminust)r = K 0 6 t 6 T
Forward contracts can be used for physical delivery eg for live cattle In thecase of European options the basic ldquohedge and forgetrdquo constant strategy
ξt = 1 ηt = η0 0 6 t 6 T
will hedge the option only if
ST + η0AT gt (ST minusK)+
ie if minusη0AT 6 K 6 ST
Future contracts
For a future contract expiring at time T we take K = S0 erT and the contractis usually quoted at time t in terms of the forward price
e(Tminust)r(St minusK eminus(Tminust)r
)= e(Tminust)rSt minusK = e(Tminust)rSt minus S0 erT
discounted at time T or simply using e(Tminust)rSt Future contracts are non-deliverable forward contracts which are ldquomarked to marketrdquo at each timestep via a cash flow exchange between the two parties ensuring that theabsolute difference | e(Tminust)rSt minusK| is being credited to the buyerrsquos accountif e(Tminust)rSt gt K or to the sellerrsquos account if e(Tminust)rSt lt K
62 European Call Options
Recall that in the case of the European call option with strike price K thepayoff function is given by h(x) = (xminusK)+ and the Black-Scholes PDE (67)reads
rgc(tx) =partgcpartt
(tx) + rxpartgcpartx
(tx) + 12σ
2x2 part2gcpartx2 (tx)
gc(T x) = (xminusK)+(69)
The next proposition will be proved in Sections 65 and 66 see Proposi-tion 611
206
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Proposition 63 The solution of the PDE (69) is given by the Black-Scholes formula for call options
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
(610)with
d+(T minus t) =log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
(611)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
0 6 t lt T (612)
We note the relation
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t 0 6 t lt T (613)
Here ldquologrdquo denotes the natural logarithm ldquolnrdquo and
Φ(x) = P(X 6 x) =1radic2π
w xminusinfin
eminusy22dy x isin R
denotes the standard Gaussian Cumulative Distribution Function (CDF) ofa standard normal random variable X N (0 1) with the relation
Φ(minusx) = 1minusΦ(x) x isin R (614)
0
02
04
06
08
1
12
-4 -3 -2 -1 0 1 2 3 4
Φ(x)
x
1Gaussian CDF Φ(x)
Fig 63 Graph of the Gaussian CDF
In other words the European call option with strike price K and maturityT is priced at time t isin [0T ] as
gc(tSt) = Bl(KStσ rT minus t)= StΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) 0 6 t 6 T
207
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
The following R script is an implementation of the Black-Scholes formula forEuropean call options in Rlowast
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 lt- d1 - sigma sqrt(T)BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)
5 BSCall
In comparison with the discrete-time Cox-Ross-Rubinstein (CRR) model ofSection 26 the interest in the formula (610) is to provide an analytical so-lution that can be evaluated in a single step which is computationally muchmore efficient
Fig 64 Graph of the Black-Scholes call price map with strike price K = 100dagger
Figure 64 presents an interactive graph of the Black-Scholes call price mapie the solution
(tx) 7minusrarr gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)of the Black-Scholes PDE (67) for a call optionlowast Download the corresponding that can be run heredagger Right-click on the figure for interaction and ldquoFull Screen Multimediardquo view
208
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
=partg
partt(tSt)dt+ vt
partg
partx(tSt)dt+ ut
partg
partx(tSt)dBt +
12 |ut|
2 part2g
partx2 (tSt)dt
=partg
partt(tSt)dt+ microSt
partg
partx(tSt)dt+
12σ
2S2tpart2g
partx2 (tSt)dt+ σStpartg
partx(tSt)dBt
(65)
By respective identification of the terms in dBt and dt in (64) and (65) wegetrg(tSt)dt+ (microminus r)ξtStdt =
partg
partt(tSt)dt+ microSt
partg
partx(tSt)dt+
12σ
2S2tpart2g
partx2 (tSt)dt
ξtStσdBt = Stσpartg
partx(tSt)dBt
hence rg(tSt) =
partg
partt(tSt) + rSt
partg
partx(tSt) +
12σ
2S2tpart2g
partx2 (tSt)
ξt =partg
partx(tSt) 0 6 t 6 T
(66)
which yields (62) after substituting St with x gt 0
The derivative giving ξt in (63) is called the Delta of the option price seeProposition 64 below The amount invested on the riskless asset is
ηtAt = Vt minus ξtSt = g(tSt)minus Stpartg
partx(tSt)
and ηt is given by
ηt =Vt minus ξtSt
At
=1At
(g(tSt)minus St
partg
partx(tSt)
)=
1A0 ert
(g(tSt)minus St
partg
partx(tSt)
)
In the next Proposition 62 we add a terminal condition g(T x) = f(x)to the Black-Scholes PDE (62) in order to price a claim payoff C of theform C = h(ST ) As in the discrete-time case the arbitrage price πt(C) attime t isin [0T ] of the claim payoff C is defined to be the value Vt of theself-financing portfolio hedging C
Proposition 62 The arbitrage price πt(C) at time t isin [0T ] of the (vanilla)option with payoff C = h(ST ) is given by πt(C) = g(tSt) and the hedging
204
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
allocation ξt is given by the partial derivative (63) where the function g(tx)is solution of the following Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) x gt 0(67)
Proof Proposition 61 shows that the solution g(tx) of (62) g isin C12(R+timesR+) represents the value Vt = ηtAt + ξtSt = g(tSt) t isin R+ of a self-financing portfolio strategy (ηt ξt)tisinR+ By Definition 31 πt(C) = Vt =g(tSt) is the arbitrage price at time t isin [0T ] of the vanilla option withpayoff C = h(ST )
The absence of the drift parameter micro from the PDE (67) can be understoodin the next forward contract example in which the claim payoff can be hedgedby leveraging on the value St of the underlying asset independently of thetrend parameter micro
Example - forward contracts
When C = ST minusK is the (linear) payoff function of a long forward contractie h(x) = xminusK the Black-Scholes PDE (67) admits the easy solution
g(tx) = xminusK eminus(Tminust)r x gt 0 0 6 t 6 T (68)
showing that the price at time t of the forward contract with payoff C =ST minusK is
St minusK eminus(Tminust)r x gt 0 0 6 t 6 T
In addition the Delta of the option price is given by
ξt =partg
partx(tSt) = 1 0 6 t 6 T
which leads to a static ldquohedge and forgetrdquo strategy cf Exercise 67 Theforward contract can be realized by the option issuer as followsa) At time t receive the option premium Vt = St minus eminus(Tminust)rK from the
option buyerb) Borrow eminus(Tminust)rK from the bank to be refunded at maturityc) Buy the risky asset using the amount Stminus eminus(Tminust)rK + eminus(Tminust)rK = Std) Hold the risky asset until maturity (do nothing constant portfolio strat-
egy)e) At maturity T hand in the asset to the option holder who will pay the
amount K in return 205
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
f) Use the amountK = e(Tminust)r eminus(Tminust)rK to refund the lender of eminus(Tminust)rKborrowed at time t
Another way to compute the option premium Vt is to state that the amountVtminusSt has to be borrowed at time t in order to purchase the asset and thatthe asset price K received at maturity T should be used to refund the loanwhich yields
(Vt minus St) eminus(Tminust)r = K 0 6 t 6 T
Forward contracts can be used for physical delivery eg for live cattle In thecase of European options the basic ldquohedge and forgetrdquo constant strategy
ξt = 1 ηt = η0 0 6 t 6 T
will hedge the option only if
ST + η0AT gt (ST minusK)+
ie if minusη0AT 6 K 6 ST
Future contracts
For a future contract expiring at time T we take K = S0 erT and the contractis usually quoted at time t in terms of the forward price
e(Tminust)r(St minusK eminus(Tminust)r
)= e(Tminust)rSt minusK = e(Tminust)rSt minus S0 erT
discounted at time T or simply using e(Tminust)rSt Future contracts are non-deliverable forward contracts which are ldquomarked to marketrdquo at each timestep via a cash flow exchange between the two parties ensuring that theabsolute difference | e(Tminust)rSt minusK| is being credited to the buyerrsquos accountif e(Tminust)rSt gt K or to the sellerrsquos account if e(Tminust)rSt lt K
62 European Call Options
Recall that in the case of the European call option with strike price K thepayoff function is given by h(x) = (xminusK)+ and the Black-Scholes PDE (67)reads
rgc(tx) =partgcpartt
(tx) + rxpartgcpartx
(tx) + 12σ
2x2 part2gcpartx2 (tx)
gc(T x) = (xminusK)+(69)
The next proposition will be proved in Sections 65 and 66 see Proposi-tion 611
206
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Proposition 63 The solution of the PDE (69) is given by the Black-Scholes formula for call options
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
(610)with
d+(T minus t) =log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
(611)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
0 6 t lt T (612)
We note the relation
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t 0 6 t lt T (613)
Here ldquologrdquo denotes the natural logarithm ldquolnrdquo and
Φ(x) = P(X 6 x) =1radic2π
w xminusinfin
eminusy22dy x isin R
denotes the standard Gaussian Cumulative Distribution Function (CDF) ofa standard normal random variable X N (0 1) with the relation
Φ(minusx) = 1minusΦ(x) x isin R (614)
0
02
04
06
08
1
12
-4 -3 -2 -1 0 1 2 3 4
Φ(x)
x
1Gaussian CDF Φ(x)
Fig 63 Graph of the Gaussian CDF
In other words the European call option with strike price K and maturityT is priced at time t isin [0T ] as
gc(tSt) = Bl(KStσ rT minus t)= StΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) 0 6 t 6 T
207
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
The following R script is an implementation of the Black-Scholes formula forEuropean call options in Rlowast
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 lt- d1 - sigma sqrt(T)BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)
5 BSCall
In comparison with the discrete-time Cox-Ross-Rubinstein (CRR) model ofSection 26 the interest in the formula (610) is to provide an analytical so-lution that can be evaluated in a single step which is computationally muchmore efficient
Fig 64 Graph of the Black-Scholes call price map with strike price K = 100dagger
Figure 64 presents an interactive graph of the Black-Scholes call price mapie the solution
(tx) 7minusrarr gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)of the Black-Scholes PDE (67) for a call optionlowast Download the corresponding that can be run heredagger Right-click on the figure for interaction and ldquoFull Screen Multimediardquo view
208
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
allocation ξt is given by the partial derivative (63) where the function g(tx)is solution of the following Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) x gt 0(67)
Proof Proposition 61 shows that the solution g(tx) of (62) g isin C12(R+timesR+) represents the value Vt = ηtAt + ξtSt = g(tSt) t isin R+ of a self-financing portfolio strategy (ηt ξt)tisinR+ By Definition 31 πt(C) = Vt =g(tSt) is the arbitrage price at time t isin [0T ] of the vanilla option withpayoff C = h(ST )
The absence of the drift parameter micro from the PDE (67) can be understoodin the next forward contract example in which the claim payoff can be hedgedby leveraging on the value St of the underlying asset independently of thetrend parameter micro
Example - forward contracts
When C = ST minusK is the (linear) payoff function of a long forward contractie h(x) = xminusK the Black-Scholes PDE (67) admits the easy solution
g(tx) = xminusK eminus(Tminust)r x gt 0 0 6 t 6 T (68)
showing that the price at time t of the forward contract with payoff C =ST minusK is
St minusK eminus(Tminust)r x gt 0 0 6 t 6 T
In addition the Delta of the option price is given by
ξt =partg
partx(tSt) = 1 0 6 t 6 T
which leads to a static ldquohedge and forgetrdquo strategy cf Exercise 67 Theforward contract can be realized by the option issuer as followsa) At time t receive the option premium Vt = St minus eminus(Tminust)rK from the
option buyerb) Borrow eminus(Tminust)rK from the bank to be refunded at maturityc) Buy the risky asset using the amount Stminus eminus(Tminust)rK + eminus(Tminust)rK = Std) Hold the risky asset until maturity (do nothing constant portfolio strat-
egy)e) At maturity T hand in the asset to the option holder who will pay the
amount K in return 205
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
f) Use the amountK = e(Tminust)r eminus(Tminust)rK to refund the lender of eminus(Tminust)rKborrowed at time t
Another way to compute the option premium Vt is to state that the amountVtminusSt has to be borrowed at time t in order to purchase the asset and thatthe asset price K received at maturity T should be used to refund the loanwhich yields
(Vt minus St) eminus(Tminust)r = K 0 6 t 6 T
Forward contracts can be used for physical delivery eg for live cattle In thecase of European options the basic ldquohedge and forgetrdquo constant strategy
ξt = 1 ηt = η0 0 6 t 6 T
will hedge the option only if
ST + η0AT gt (ST minusK)+
ie if minusη0AT 6 K 6 ST
Future contracts
For a future contract expiring at time T we take K = S0 erT and the contractis usually quoted at time t in terms of the forward price
e(Tminust)r(St minusK eminus(Tminust)r
)= e(Tminust)rSt minusK = e(Tminust)rSt minus S0 erT
discounted at time T or simply using e(Tminust)rSt Future contracts are non-deliverable forward contracts which are ldquomarked to marketrdquo at each timestep via a cash flow exchange between the two parties ensuring that theabsolute difference | e(Tminust)rSt minusK| is being credited to the buyerrsquos accountif e(Tminust)rSt gt K or to the sellerrsquos account if e(Tminust)rSt lt K
62 European Call Options
Recall that in the case of the European call option with strike price K thepayoff function is given by h(x) = (xminusK)+ and the Black-Scholes PDE (67)reads
rgc(tx) =partgcpartt
(tx) + rxpartgcpartx
(tx) + 12σ
2x2 part2gcpartx2 (tx)
gc(T x) = (xminusK)+(69)
The next proposition will be proved in Sections 65 and 66 see Proposi-tion 611
206
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Proposition 63 The solution of the PDE (69) is given by the Black-Scholes formula for call options
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
(610)with
d+(T minus t) =log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
(611)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
0 6 t lt T (612)
We note the relation
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t 0 6 t lt T (613)
Here ldquologrdquo denotes the natural logarithm ldquolnrdquo and
Φ(x) = P(X 6 x) =1radic2π
w xminusinfin
eminusy22dy x isin R
denotes the standard Gaussian Cumulative Distribution Function (CDF) ofa standard normal random variable X N (0 1) with the relation
Φ(minusx) = 1minusΦ(x) x isin R (614)
0
02
04
06
08
1
12
-4 -3 -2 -1 0 1 2 3 4
Φ(x)
x
1Gaussian CDF Φ(x)
Fig 63 Graph of the Gaussian CDF
In other words the European call option with strike price K and maturityT is priced at time t isin [0T ] as
gc(tSt) = Bl(KStσ rT minus t)= StΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) 0 6 t 6 T
207
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
The following R script is an implementation of the Black-Scholes formula forEuropean call options in Rlowast
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 lt- d1 - sigma sqrt(T)BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)
5 BSCall
In comparison with the discrete-time Cox-Ross-Rubinstein (CRR) model ofSection 26 the interest in the formula (610) is to provide an analytical so-lution that can be evaluated in a single step which is computationally muchmore efficient
Fig 64 Graph of the Black-Scholes call price map with strike price K = 100dagger
Figure 64 presents an interactive graph of the Black-Scholes call price mapie the solution
(tx) 7minusrarr gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)of the Black-Scholes PDE (67) for a call optionlowast Download the corresponding that can be run heredagger Right-click on the figure for interaction and ldquoFull Screen Multimediardquo view
208
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
f) Use the amountK = e(Tminust)r eminus(Tminust)rK to refund the lender of eminus(Tminust)rKborrowed at time t
Another way to compute the option premium Vt is to state that the amountVtminusSt has to be borrowed at time t in order to purchase the asset and thatthe asset price K received at maturity T should be used to refund the loanwhich yields
(Vt minus St) eminus(Tminust)r = K 0 6 t 6 T
Forward contracts can be used for physical delivery eg for live cattle In thecase of European options the basic ldquohedge and forgetrdquo constant strategy
ξt = 1 ηt = η0 0 6 t 6 T
will hedge the option only if
ST + η0AT gt (ST minusK)+
ie if minusη0AT 6 K 6 ST
Future contracts
For a future contract expiring at time T we take K = S0 erT and the contractis usually quoted at time t in terms of the forward price
e(Tminust)r(St minusK eminus(Tminust)r
)= e(Tminust)rSt minusK = e(Tminust)rSt minus S0 erT
discounted at time T or simply using e(Tminust)rSt Future contracts are non-deliverable forward contracts which are ldquomarked to marketrdquo at each timestep via a cash flow exchange between the two parties ensuring that theabsolute difference | e(Tminust)rSt minusK| is being credited to the buyerrsquos accountif e(Tminust)rSt gt K or to the sellerrsquos account if e(Tminust)rSt lt K
62 European Call Options
Recall that in the case of the European call option with strike price K thepayoff function is given by h(x) = (xminusK)+ and the Black-Scholes PDE (67)reads
rgc(tx) =partgcpartt
(tx) + rxpartgcpartx
(tx) + 12σ
2x2 part2gcpartx2 (tx)
gc(T x) = (xminusK)+(69)
The next proposition will be proved in Sections 65 and 66 see Proposi-tion 611
206
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Black-Scholes Pricing and Hedging
Proposition 63 The solution of the PDE (69) is given by the Black-Scholes formula for call options
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
(610)with
d+(T minus t) =log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
(611)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
0 6 t lt T (612)
We note the relation
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t 0 6 t lt T (613)
Here ldquologrdquo denotes the natural logarithm ldquolnrdquo and
Φ(x) = P(X 6 x) =1radic2π
w xminusinfin
eminusy22dy x isin R
denotes the standard Gaussian Cumulative Distribution Function (CDF) ofa standard normal random variable X N (0 1) with the relation
Φ(minusx) = 1minusΦ(x) x isin R (614)
0
02
04
06
08
1
12
-4 -3 -2 -1 0 1 2 3 4
Φ(x)
x
1Gaussian CDF Φ(x)
Fig 63 Graph of the Gaussian CDF
In other words the European call option with strike price K and maturityT is priced at time t isin [0T ] as
gc(tSt) = Bl(KStσ rT minus t)= StΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) 0 6 t 6 T
207
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N Privault
The following R script is an implementation of the Black-Scholes formula forEuropean call options in Rlowast
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 lt- d1 - sigma sqrt(T)BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)
5 BSCall
In comparison with the discrete-time Cox-Ross-Rubinstein (CRR) model ofSection 26 the interest in the formula (610) is to provide an analytical so-lution that can be evaluated in a single step which is computationally muchmore efficient
Fig 64 Graph of the Black-Scholes call price map with strike price K = 100dagger
Figure 64 presents an interactive graph of the Black-Scholes call price mapie the solution
(tx) 7minusrarr gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)of the Black-Scholes PDE (67) for a call optionlowast Download the corresponding that can be run heredagger Right-click on the figure for interaction and ldquoFull Screen Multimediardquo view
208
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Proposition 63 The solution of the PDE (69) is given by the Black-Scholes formula for call options
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
(610)with
d+(T minus t) =log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
(611)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
0 6 t lt T (612)
We note the relation
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t 0 6 t lt T (613)
Here ldquologrdquo denotes the natural logarithm ldquolnrdquo and
Φ(x) = P(X 6 x) =1radic2π
w xminusinfin
eminusy22dy x isin R
denotes the standard Gaussian Cumulative Distribution Function (CDF) ofa standard normal random variable X N (0 1) with the relation
Φ(minusx) = 1minusΦ(x) x isin R (614)
0
02
04
06
08
1
12
-4 -3 -2 -1 0 1 2 3 4
Φ(x)
x
1Gaussian CDF Φ(x)
Fig 63 Graph of the Gaussian CDF
In other words the European call option with strike price K and maturityT is priced at time t isin [0T ] as
gc(tSt) = Bl(KStσ rT minus t)= StΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) 0 6 t 6 T
207
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
The following R script is an implementation of the Black-Scholes formula forEuropean call options in Rlowast
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 lt- d1 - sigma sqrt(T)BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)
5 BSCall
In comparison with the discrete-time Cox-Ross-Rubinstein (CRR) model ofSection 26 the interest in the formula (610) is to provide an analytical so-lution that can be evaluated in a single step which is computationally muchmore efficient
Fig 64 Graph of the Black-Scholes call price map with strike price K = 100dagger
Figure 64 presents an interactive graph of the Black-Scholes call price mapie the solution
(tx) 7minusrarr gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)of the Black-Scholes PDE (67) for a call optionlowast Download the corresponding that can be run heredagger Right-click on the figure for interaction and ldquoFull Screen Multimediardquo view
208
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
The following R script is an implementation of the Black-Scholes formula forEuropean call options in Rlowast
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 lt- d1 - sigma sqrt(T)BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)
5 BSCall
In comparison with the discrete-time Cox-Ross-Rubinstein (CRR) model ofSection 26 the interest in the formula (610) is to provide an analytical so-lution that can be evaluated in a single step which is computationally muchmore efficient
Fig 64 Graph of the Black-Scholes call price map with strike price K = 100dagger
Figure 64 presents an interactive graph of the Black-Scholes call price mapie the solution
(tx) 7minusrarr gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)of the Black-Scholes PDE (67) for a call optionlowast Download the corresponding that can be run heredagger Right-click on the figure for interaction and ldquoFull Screen Multimediardquo view
208
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Fig 65 Time-dependent solution of the Black-Scholes PDE (call option)lowast
The next proposition is proved by a direct differentiation of the Black-Scholesfunction and will be recovered later using a probabilistic argument in Propo-sition 714 below
Proposition 64 The Black-Scholes Delta of the European call option isgiven by
ξt = ξt(St) =partgcpartx
(tSt) = Φ(d+(T minus t)
)isin [0 1] (615)
where d+(T minus t) is given by (611)
Proof From Relation (613) we note that the standard normal probabilitydensity function
ϕ(x) = Φprime(x) =1radic2π
eminusx22 x isin R
satisfies
ϕ(d+(T minus t)) = ϕ
(log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)=
1radic2π
exp(minus1
2
(log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)2)
=1radic2π
exp(minus1
2
(log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
+ |σ|radicT minus t
)2)
=1radic2π
exp(minus1
2 (dminus(T minus t))2 minus (T minus t)rminus log x
K
)=
K
xradic
2πeminus(Tminust)r exp
(minus1
2 (dminus(T minus t))2)
lowast The animation works in Acrobat Reader on the entire pdf file
209
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
=K
xeminus(Tminust)rϕ(dminus(T minus t))
hence by (610) we have
partgcpartx
(tx) = part
partx
(xΦ(
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
))(616)
minusK eminus(Tminust)r partpartx
(Φ(
log(xK) + (rminus σ22)(T minus t)|σ|radicT minus t
))= Φ
(log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)+x
part
partxΦ(
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
)minusK eminus(Tminust)r part
partxΦ(
log(xK) + (rminus σ22)(T minus t)|σ|radicT minus t
)= Φ
(log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)+
x
|σ|radicT minus t
ϕ
(log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)minusK eminus(Tminust)r
|σ|radicT minus t
ϕ
(log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)= Φ(d+(T minus t)) +
x
|σ|radicT minus t
ϕ(d+(T minus t))minusK eminus(Tminust)r
|σ|radicT minus t
ϕ(dminus(T minus t))
= Φ(d+(T minus t))
As a consequence of Proposition 64 the Black-Scholes call price splits into arisky component StΦ
(d+(T minus t)
)and a riskless componentminusK eminus(Tminust)rΦ
(dminus(T minus
t)) as follows
gc(tSt) = StΦ(d+(T minus t)
)︸ ︷︷ ︸risky investment (held)
minus K eminus(Tminust)rΦ(dminus(T minus t)
)︸ ︷︷ ︸
riskminusfree investment (borrowed)
0 6 t 6 T
See Exercise 64 for a computation of the boundary values of gc(tx) t isin[0T ) x gt 0 The following R script is an implementation of the Black-ScholesDelta for European call options in R
1 Delta lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 Delta = pnorm(d1)Delta
210
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Black-Scholes Pricing and Hedging
In Figure 66 we plot the Delta of the European call option as a function ofthe underlying asset price and of the time remaining until maturity
Payoff function (x-K)+
0
50
100
150
200
Underlying
0
5
10
15
Time to maturity T-t
0
025
05
075
1
Fig 66 Delta of a European call option with strike price K = 100 r = 3 σ = 10
The Gamma of the European call option is defined as the first derivative ofDelta or second derivative of the option price with respect to the underlyingasset price This gives
γt =1
St|σ|radicT minus t
Φprime(d+(T minus t)
)=
1St|σ|
radic2(T minus t)π
exp(minus1
2
(log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)2)gt 0
In particular a positive value of γt implies that the Delta ξt = ξt(St) shouldincrease when the underlying asset price St increases In other words the po-sition ξt in the underlying asset should be increased by additional purchasesif the underlying asset price St increases
In Figure 67 we plot the (truncated) value of the Gamma of a European calloption as a function of the underlying asset price and of time to maturity
211
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N Privault
Fig 67 Gamma of a European call option with strike price K = 100
As Gamma is always nonnegative the Black-Scholes hedging strategy is tokeep buying the risky underlying asset when its price increases and to sell itwhen its price decreases as can be checked from Figure 67
Numerical example - hedging of a call option
In Figure 68 we consider the historical stock price of HSBC Holdings(0005HK) over one year
Fig 68 Graph of the stock price of HSBC Holdings
Consider the call option issued by Societe Generale on 31 December 2008 withstrike price K=$63704 maturity T = October 05 2009 and an entitlementratio of 100 meaning that one option contract is divided into 100 warrants cfpage 9 The next graph gives the time evolution of the Black-Scholes portfoliovalue
t 7minusrarr gc(tSt)
driven by the market price t 7minusrarr St of the risky underlying asset as given inFigure 68 in which the number of days is counted from the origin and notfrom maturity
212
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Black-Scholes Pricing and Hedging
40 50 60 70 80 90 0 50 100 150 200
0
5
10
15
20
25
30
35
40
Underlying (HK$) Time in days
Fig 69 Path of the Black-Scholes price for a call option on HSBC
As a consequence of Proposition 64 in the Black-Scholes call option hedgingmodel the amount invested in the risky asset is
Stξt = StΦ(d+(T minus t)
)= StΦ
(log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)gt 0
which is always nonnegative ie there is no short selling and the amountinvested on the riskless asset is
ηtAt = minusK eminus(Tminust)rΦ(dminus(T minus t)
)= minusK eminus(Tminust)rΦ
(log(StK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)6 0
which is always nonpositive ie we are constantly borrowing money on theriskless asset as noted in Figure 610
-60
-40
-20
0
20
40
60
80
100
0 50 100 150 200
K
HK$
Black-Scholes priceRisky investment ξtSt
Riskless investment ηtAtUnderlying asset price
Fig 610 Time evolution of a hedging portfolio for a call option on HSBC
213
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N Privault
A comparison of Figure 610 with market data can be found in Figures 911and 912 below
Cash settlement In the case of a cash settlement the option issuer will sat-isfy the option contract by selling ξT = 1 stock at the price ST = $83refund the K = $63 risk-free investment and hand in the remaining amountC = (ST minusK)+ = 83minus 63 = $20 to the option holder
Physical delivery In the case of physical delivery of the underlying asset theoption issuer will deliver ξT = 1 stock to the option holder in exchange forK = $63 which will be used together with the portfolio value to refund therisk-free loan
63 European Put Options
Similarly in the case of the European put option with strike price K thepayoff function is given by h(x) = (Kminusx)+ and the Black-Scholes PDE (67)reads
rgp(tx) =partgppartt
(tx) + rxpartgppartx
(tx) + 12σ
2x2 part2gppartx2 (tx)
gp(T x) = (K minus x)+(617)
The next proposition can be proved as in Sections 65 and 66 see Proposi-tion 611
Proposition 65 The solution of the PDE (617) is given by the Black-Scholes formula for put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
) (618)
withd+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
(619)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
(620)
as illustrated in Figure 611
214
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Black-Scholes Pricing and Hedging
Fig 611 Graph of the Black-Scholes put price function with strike price K = 100lowast
In other words the European put option with strike price K and maturityT is priced at time t isin [0T ] as
gp(tSt) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus StΦ
(minus d+(T minus t)
) 0 6 t 6 T
Fig 612 Time-dependent solution of the Black-Scholes PDE (put option)dagger
The following R script is an implementation of the Black-Scholes formula forEuropean put options in R
1 BSPut lt- function(S K r T sigma)d1 = (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 = d1 - sigma sqrt(T)BSPut = Kexp(-rT) pnorm(-d2) - Spnorm(-d1)
5 BSPut
Call-put parity
lowast Right-click on the figure for interaction and ldquoFull Screen Multimediardquo viewdagger The animation works in Acrobat Reader on the entire pdf file
215
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
=K
xeminus(Tminust)rϕ(dminus(T minus t))
hence by (610) we have
partgcpartx
(tx) = part
partx
(xΦ(
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
))(616)
minusK eminus(Tminust)r partpartx
(Φ(
log(xK) + (rminus σ22)(T minus t)|σ|radicT minus t
))= Φ
(log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)+x
part
partxΦ(
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
)minusK eminus(Tminust)r part
partxΦ(
log(xK) + (rminus σ22)(T minus t)|σ|radicT minus t
)= Φ
(log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)+
x
|σ|radicT minus t
ϕ
(log(xK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)minusK eminus(Tminust)r
|σ|radicT minus t
ϕ
(log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)= Φ(d+(T minus t)) +
x
|σ|radicT minus t
ϕ(d+(T minus t))minusK eminus(Tminust)r
|σ|radicT minus t
ϕ(dminus(T minus t))
= Φ(d+(T minus t))
As a consequence of Proposition 64 the Black-Scholes call price splits into arisky component StΦ
(d+(T minus t)
)and a riskless componentminusK eminus(Tminust)rΦ
(dminus(T minus
t)) as follows
gc(tSt) = StΦ(d+(T minus t)
)︸ ︷︷ ︸risky investment (held)
minus K eminus(Tminust)rΦ(dminus(T minus t)
)︸ ︷︷ ︸
riskminusfree investment (borrowed)
0 6 t 6 T
See Exercise 64 for a computation of the boundary values of gc(tx) t isin[0T ) x gt 0 The following R script is an implementation of the Black-ScholesDelta for European call options in R
1 Delta lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 Delta = pnorm(d1)Delta
210
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
In Figure 66 we plot the Delta of the European call option as a function ofthe underlying asset price and of the time remaining until maturity
Payoff function (x-K)+
0
50
100
150
200
Underlying
0
5
10
15
Time to maturity T-t
0
025
05
075
1
Fig 66 Delta of a European call option with strike price K = 100 r = 3 σ = 10
The Gamma of the European call option is defined as the first derivative ofDelta or second derivative of the option price with respect to the underlyingasset price This gives
γt =1
St|σ|radicT minus t
Φprime(d+(T minus t)
)=
1St|σ|
radic2(T minus t)π
exp(minus1
2
(log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)2)gt 0
In particular a positive value of γt implies that the Delta ξt = ξt(St) shouldincrease when the underlying asset price St increases In other words the po-sition ξt in the underlying asset should be increased by additional purchasesif the underlying asset price St increases
In Figure 67 we plot the (truncated) value of the Gamma of a European calloption as a function of the underlying asset price and of time to maturity
211
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
Fig 67 Gamma of a European call option with strike price K = 100
As Gamma is always nonnegative the Black-Scholes hedging strategy is tokeep buying the risky underlying asset when its price increases and to sell itwhen its price decreases as can be checked from Figure 67
Numerical example - hedging of a call option
In Figure 68 we consider the historical stock price of HSBC Holdings(0005HK) over one year
Fig 68 Graph of the stock price of HSBC Holdings
Consider the call option issued by Societe Generale on 31 December 2008 withstrike price K=$63704 maturity T = October 05 2009 and an entitlementratio of 100 meaning that one option contract is divided into 100 warrants cfpage 9 The next graph gives the time evolution of the Black-Scholes portfoliovalue
t 7minusrarr gc(tSt)
driven by the market price t 7minusrarr St of the risky underlying asset as given inFigure 68 in which the number of days is counted from the origin and notfrom maturity
212
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
40 50 60 70 80 90 0 50 100 150 200
0
5
10
15
20
25
30
35
40
Underlying (HK$) Time in days
Fig 69 Path of the Black-Scholes price for a call option on HSBC
As a consequence of Proposition 64 in the Black-Scholes call option hedgingmodel the amount invested in the risky asset is
Stξt = StΦ(d+(T minus t)
)= StΦ
(log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)gt 0
which is always nonnegative ie there is no short selling and the amountinvested on the riskless asset is
ηtAt = minusK eminus(Tminust)rΦ(dminus(T minus t)
)= minusK eminus(Tminust)rΦ
(log(StK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)6 0
which is always nonpositive ie we are constantly borrowing money on theriskless asset as noted in Figure 610
-60
-40
-20
0
20
40
60
80
100
0 50 100 150 200
K
HK$
Black-Scholes priceRisky investment ξtSt
Riskless investment ηtAtUnderlying asset price
Fig 610 Time evolution of a hedging portfolio for a call option on HSBC
213
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
A comparison of Figure 610 with market data can be found in Figures 911and 912 below
Cash settlement In the case of a cash settlement the option issuer will sat-isfy the option contract by selling ξT = 1 stock at the price ST = $83refund the K = $63 risk-free investment and hand in the remaining amountC = (ST minusK)+ = 83minus 63 = $20 to the option holder
Physical delivery In the case of physical delivery of the underlying asset theoption issuer will deliver ξT = 1 stock to the option holder in exchange forK = $63 which will be used together with the portfolio value to refund therisk-free loan
63 European Put Options
Similarly in the case of the European put option with strike price K thepayoff function is given by h(x) = (Kminusx)+ and the Black-Scholes PDE (67)reads
rgp(tx) =partgppartt
(tx) + rxpartgppartx
(tx) + 12σ
2x2 part2gppartx2 (tx)
gp(T x) = (K minus x)+(617)
The next proposition can be proved as in Sections 65 and 66 see Proposi-tion 611
Proposition 65 The solution of the PDE (617) is given by the Black-Scholes formula for put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
) (618)
withd+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
(619)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
(620)
as illustrated in Figure 611
214
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Fig 611 Graph of the Black-Scholes put price function with strike price K = 100lowast
In other words the European put option with strike price K and maturityT is priced at time t isin [0T ] as
gp(tSt) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus StΦ
(minus d+(T minus t)
) 0 6 t 6 T
Fig 612 Time-dependent solution of the Black-Scholes PDE (put option)dagger
The following R script is an implementation of the Black-Scholes formula forEuropean put options in R
1 BSPut lt- function(S K r T sigma)d1 = (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 = d1 - sigma sqrt(T)BSPut = Kexp(-rT) pnorm(-d2) - Spnorm(-d1)
5 BSPut
Call-put parity
lowast Right-click on the figure for interaction and ldquoFull Screen Multimediardquo viewdagger The animation works in Acrobat Reader on the entire pdf file
215
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
In Figure 66 we plot the Delta of the European call option as a function ofthe underlying asset price and of the time remaining until maturity
Payoff function (x-K)+
0
50
100
150
200
Underlying
0
5
10
15
Time to maturity T-t
0
025
05
075
1
Fig 66 Delta of a European call option with strike price K = 100 r = 3 σ = 10
The Gamma of the European call option is defined as the first derivative ofDelta or second derivative of the option price with respect to the underlyingasset price This gives
γt =1
St|σ|radicT minus t
Φprime(d+(T minus t)
)=
1St|σ|
radic2(T minus t)π
exp(minus1
2
(log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)2)gt 0
In particular a positive value of γt implies that the Delta ξt = ξt(St) shouldincrease when the underlying asset price St increases In other words the po-sition ξt in the underlying asset should be increased by additional purchasesif the underlying asset price St increases
In Figure 67 we plot the (truncated) value of the Gamma of a European calloption as a function of the underlying asset price and of time to maturity
211
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N Privault
Fig 67 Gamma of a European call option with strike price K = 100
As Gamma is always nonnegative the Black-Scholes hedging strategy is tokeep buying the risky underlying asset when its price increases and to sell itwhen its price decreases as can be checked from Figure 67
Numerical example - hedging of a call option
In Figure 68 we consider the historical stock price of HSBC Holdings(0005HK) over one year
Fig 68 Graph of the stock price of HSBC Holdings
Consider the call option issued by Societe Generale on 31 December 2008 withstrike price K=$63704 maturity T = October 05 2009 and an entitlementratio of 100 meaning that one option contract is divided into 100 warrants cfpage 9 The next graph gives the time evolution of the Black-Scholes portfoliovalue
t 7minusrarr gc(tSt)
driven by the market price t 7minusrarr St of the risky underlying asset as given inFigure 68 in which the number of days is counted from the origin and notfrom maturity
212
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Black-Scholes Pricing and Hedging
40 50 60 70 80 90 0 50 100 150 200
0
5
10
15
20
25
30
35
40
Underlying (HK$) Time in days
Fig 69 Path of the Black-Scholes price for a call option on HSBC
As a consequence of Proposition 64 in the Black-Scholes call option hedgingmodel the amount invested in the risky asset is
Stξt = StΦ(d+(T minus t)
)= StΦ
(log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)gt 0
which is always nonnegative ie there is no short selling and the amountinvested on the riskless asset is
ηtAt = minusK eminus(Tminust)rΦ(dminus(T minus t)
)= minusK eminus(Tminust)rΦ
(log(StK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)6 0
which is always nonpositive ie we are constantly borrowing money on theriskless asset as noted in Figure 610
-60
-40
-20
0
20
40
60
80
100
0 50 100 150 200
K
HK$
Black-Scholes priceRisky investment ξtSt
Riskless investment ηtAtUnderlying asset price
Fig 610 Time evolution of a hedging portfolio for a call option on HSBC
213
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N Privault
A comparison of Figure 610 with market data can be found in Figures 911and 912 below
Cash settlement In the case of a cash settlement the option issuer will sat-isfy the option contract by selling ξT = 1 stock at the price ST = $83refund the K = $63 risk-free investment and hand in the remaining amountC = (ST minusK)+ = 83minus 63 = $20 to the option holder
Physical delivery In the case of physical delivery of the underlying asset theoption issuer will deliver ξT = 1 stock to the option holder in exchange forK = $63 which will be used together with the portfolio value to refund therisk-free loan
63 European Put Options
Similarly in the case of the European put option with strike price K thepayoff function is given by h(x) = (Kminusx)+ and the Black-Scholes PDE (67)reads
rgp(tx) =partgppartt
(tx) + rxpartgppartx
(tx) + 12σ
2x2 part2gppartx2 (tx)
gp(T x) = (K minus x)+(617)
The next proposition can be proved as in Sections 65 and 66 see Proposi-tion 611
Proposition 65 The solution of the PDE (617) is given by the Black-Scholes formula for put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
) (618)
withd+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
(619)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
(620)
as illustrated in Figure 611
214
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Black-Scholes Pricing and Hedging
Fig 611 Graph of the Black-Scholes put price function with strike price K = 100lowast
In other words the European put option with strike price K and maturityT is priced at time t isin [0T ] as
gp(tSt) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus StΦ
(minus d+(T minus t)
) 0 6 t 6 T
Fig 612 Time-dependent solution of the Black-Scholes PDE (put option)dagger
The following R script is an implementation of the Black-Scholes formula forEuropean put options in R
1 BSPut lt- function(S K r T sigma)d1 = (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 = d1 - sigma sqrt(T)BSPut = Kexp(-rT) pnorm(-d2) - Spnorm(-d1)
5 BSPut
Call-put parity
lowast Right-click on the figure for interaction and ldquoFull Screen Multimediardquo viewdagger The animation works in Acrobat Reader on the entire pdf file
215
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
Fig 67 Gamma of a European call option with strike price K = 100
As Gamma is always nonnegative the Black-Scholes hedging strategy is tokeep buying the risky underlying asset when its price increases and to sell itwhen its price decreases as can be checked from Figure 67
Numerical example - hedging of a call option
In Figure 68 we consider the historical stock price of HSBC Holdings(0005HK) over one year
Fig 68 Graph of the stock price of HSBC Holdings
Consider the call option issued by Societe Generale on 31 December 2008 withstrike price K=$63704 maturity T = October 05 2009 and an entitlementratio of 100 meaning that one option contract is divided into 100 warrants cfpage 9 The next graph gives the time evolution of the Black-Scholes portfoliovalue
t 7minusrarr gc(tSt)
driven by the market price t 7minusrarr St of the risky underlying asset as given inFigure 68 in which the number of days is counted from the origin and notfrom maturity
212
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
40 50 60 70 80 90 0 50 100 150 200
0
5
10
15
20
25
30
35
40
Underlying (HK$) Time in days
Fig 69 Path of the Black-Scholes price for a call option on HSBC
As a consequence of Proposition 64 in the Black-Scholes call option hedgingmodel the amount invested in the risky asset is
Stξt = StΦ(d+(T minus t)
)= StΦ
(log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)gt 0
which is always nonnegative ie there is no short selling and the amountinvested on the riskless asset is
ηtAt = minusK eminus(Tminust)rΦ(dminus(T minus t)
)= minusK eminus(Tminust)rΦ
(log(StK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)6 0
which is always nonpositive ie we are constantly borrowing money on theriskless asset as noted in Figure 610
-60
-40
-20
0
20
40
60
80
100
0 50 100 150 200
K
HK$
Black-Scholes priceRisky investment ξtSt
Riskless investment ηtAtUnderlying asset price
Fig 610 Time evolution of a hedging portfolio for a call option on HSBC
213
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N Privault
A comparison of Figure 610 with market data can be found in Figures 911and 912 below
Cash settlement In the case of a cash settlement the option issuer will sat-isfy the option contract by selling ξT = 1 stock at the price ST = $83refund the K = $63 risk-free investment and hand in the remaining amountC = (ST minusK)+ = 83minus 63 = $20 to the option holder
Physical delivery In the case of physical delivery of the underlying asset theoption issuer will deliver ξT = 1 stock to the option holder in exchange forK = $63 which will be used together with the portfolio value to refund therisk-free loan
63 European Put Options
Similarly in the case of the European put option with strike price K thepayoff function is given by h(x) = (Kminusx)+ and the Black-Scholes PDE (67)reads
rgp(tx) =partgppartt
(tx) + rxpartgppartx
(tx) + 12σ
2x2 part2gppartx2 (tx)
gp(T x) = (K minus x)+(617)
The next proposition can be proved as in Sections 65 and 66 see Proposi-tion 611
Proposition 65 The solution of the PDE (617) is given by the Black-Scholes formula for put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
) (618)
withd+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
(619)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
(620)
as illustrated in Figure 611
214
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Fig 611 Graph of the Black-Scholes put price function with strike price K = 100lowast
In other words the European put option with strike price K and maturityT is priced at time t isin [0T ] as
gp(tSt) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus StΦ
(minus d+(T minus t)
) 0 6 t 6 T
Fig 612 Time-dependent solution of the Black-Scholes PDE (put option)dagger
The following R script is an implementation of the Black-Scholes formula forEuropean put options in R
1 BSPut lt- function(S K r T sigma)d1 = (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 = d1 - sigma sqrt(T)BSPut = Kexp(-rT) pnorm(-d2) - Spnorm(-d1)
5 BSPut
Call-put parity
lowast Right-click on the figure for interaction and ldquoFull Screen Multimediardquo viewdagger The animation works in Acrobat Reader on the entire pdf file
215
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
40 50 60 70 80 90 0 50 100 150 200
0
5
10
15
20
25
30
35
40
Underlying (HK$) Time in days
Fig 69 Path of the Black-Scholes price for a call option on HSBC
As a consequence of Proposition 64 in the Black-Scholes call option hedgingmodel the amount invested in the risky asset is
Stξt = StΦ(d+(T minus t)
)= StΦ
(log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)gt 0
which is always nonnegative ie there is no short selling and the amountinvested on the riskless asset is
ηtAt = minusK eminus(Tminust)rΦ(dminus(T minus t)
)= minusK eminus(Tminust)rΦ
(log(StK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)6 0
which is always nonpositive ie we are constantly borrowing money on theriskless asset as noted in Figure 610
-60
-40
-20
0
20
40
60
80
100
0 50 100 150 200
K
HK$
Black-Scholes priceRisky investment ξtSt
Riskless investment ηtAtUnderlying asset price
Fig 610 Time evolution of a hedging portfolio for a call option on HSBC
213
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N Privault
A comparison of Figure 610 with market data can be found in Figures 911and 912 below
Cash settlement In the case of a cash settlement the option issuer will sat-isfy the option contract by selling ξT = 1 stock at the price ST = $83refund the K = $63 risk-free investment and hand in the remaining amountC = (ST minusK)+ = 83minus 63 = $20 to the option holder
Physical delivery In the case of physical delivery of the underlying asset theoption issuer will deliver ξT = 1 stock to the option holder in exchange forK = $63 which will be used together with the portfolio value to refund therisk-free loan
63 European Put Options
Similarly in the case of the European put option with strike price K thepayoff function is given by h(x) = (Kminusx)+ and the Black-Scholes PDE (67)reads
rgp(tx) =partgppartt
(tx) + rxpartgppartx
(tx) + 12σ
2x2 part2gppartx2 (tx)
gp(T x) = (K minus x)+(617)
The next proposition can be proved as in Sections 65 and 66 see Proposi-tion 611
Proposition 65 The solution of the PDE (617) is given by the Black-Scholes formula for put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
) (618)
withd+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
(619)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
(620)
as illustrated in Figure 611
214
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Black-Scholes Pricing and Hedging
Fig 611 Graph of the Black-Scholes put price function with strike price K = 100lowast
In other words the European put option with strike price K and maturityT is priced at time t isin [0T ] as
gp(tSt) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus StΦ
(minus d+(T minus t)
) 0 6 t 6 T
Fig 612 Time-dependent solution of the Black-Scholes PDE (put option)dagger
The following R script is an implementation of the Black-Scholes formula forEuropean put options in R
1 BSPut lt- function(S K r T sigma)d1 = (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 = d1 - sigma sqrt(T)BSPut = Kexp(-rT) pnorm(-d2) - Spnorm(-d1)
5 BSPut
Call-put parity
lowast Right-click on the figure for interaction and ldquoFull Screen Multimediardquo viewdagger The animation works in Acrobat Reader on the entire pdf file
215
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
A comparison of Figure 610 with market data can be found in Figures 911and 912 below
Cash settlement In the case of a cash settlement the option issuer will sat-isfy the option contract by selling ξT = 1 stock at the price ST = $83refund the K = $63 risk-free investment and hand in the remaining amountC = (ST minusK)+ = 83minus 63 = $20 to the option holder
Physical delivery In the case of physical delivery of the underlying asset theoption issuer will deliver ξT = 1 stock to the option holder in exchange forK = $63 which will be used together with the portfolio value to refund therisk-free loan
63 European Put Options
Similarly in the case of the European put option with strike price K thepayoff function is given by h(x) = (Kminusx)+ and the Black-Scholes PDE (67)reads
rgp(tx) =partgppartt
(tx) + rxpartgppartx
(tx) + 12σ
2x2 part2gppartx2 (tx)
gp(T x) = (K minus x)+(617)
The next proposition can be proved as in Sections 65 and 66 see Proposi-tion 611
Proposition 65 The solution of the PDE (617) is given by the Black-Scholes formula for put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
) (618)
withd+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
(619)
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
(620)
as illustrated in Figure 611
214
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Black-Scholes Pricing and Hedging
Fig 611 Graph of the Black-Scholes put price function with strike price K = 100lowast
In other words the European put option with strike price K and maturityT is priced at time t isin [0T ] as
gp(tSt) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus StΦ
(minus d+(T minus t)
) 0 6 t 6 T
Fig 612 Time-dependent solution of the Black-Scholes PDE (put option)dagger
The following R script is an implementation of the Black-Scholes formula forEuropean put options in R
1 BSPut lt- function(S K r T sigma)d1 = (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 = d1 - sigma sqrt(T)BSPut = Kexp(-rT) pnorm(-d2) - Spnorm(-d1)
5 BSPut
Call-put parity
lowast Right-click on the figure for interaction and ldquoFull Screen Multimediardquo viewdagger The animation works in Acrobat Reader on the entire pdf file
215
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Fig 611 Graph of the Black-Scholes put price function with strike price K = 100lowast
In other words the European put option with strike price K and maturityT is priced at time t isin [0T ] as
gp(tSt) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus StΦ
(minus d+(T minus t)
) 0 6 t 6 T
Fig 612 Time-dependent solution of the Black-Scholes PDE (put option)dagger
The following R script is an implementation of the Black-Scholes formula forEuropean put options in R
1 BSPut lt- function(S K r T sigma)d1 = (log(SK)+(r+sigma^22)T)(sigmasqrt(T))
3 d2 = d1 - sigma sqrt(T)BSPut = Kexp(-rT) pnorm(-d2) - Spnorm(-d1)
5 BSPut
Call-put parity
lowast Right-click on the figure for interaction and ldquoFull Screen Multimediardquo viewdagger The animation works in Acrobat Reader on the entire pdf file
215
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
Proposition 66 Call-put parity We have the call-put parity relation
gc(tSt)minus gp(tSt) = St minusK eminus(Tminust)r 0 6 t 6 T (621)
between the Black-Scholes prices of call and put options in terms of theforward contract price St minusK eminus(Tminust)r
Proof The call-put parity (621) is a consequence of the relation
xminusK = (xminusK)+ minus (K minus x)+
satisfied by the terminal call and put payoff functions in the Black-ScholesPDE (67) It can also be verified directly from (610) and (618) as
gc(tx)minus gp(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)minus(K eminus(Tminust)rΦ
(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)minusK eminus(Tminust)r
(1minusΦ
(dminus(T minus t)
))+ x
(1minusΦ
(d+(T minus t)
))= xminusK
The Delta of the Black-Scholes put option can be obtained by differentiationof the call-put parity relation (621) and Proposition 64
Proposition 67 The Delta of the Black-Scholes put option is given by
ξt = minus(1minusΦ(d+(T minus t)
)) = minusΦ
(minus d+(T minus t)
)isin [minus1 0] 0 6 t 6 T
Proof By the call-put parity relation (621) and Proposition 64 we have
partgppartx
(tSt) =partgcpartx
(tSt)minus 1
= Φ(d+(T minus t))minus 1= minusΦ(minusd+(T minus t)) 0 6 t 6 T
where we applied (614)
As a consequence of Proposition 67 the Black-Scholes put price splitsinto a risky component minusStΦ
(minus d+(T minus t)
)and a riskless component
K eminus(Tminust)rΦ(minus dminus(T minus t)
) as follows
gp(tSt) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)︸ ︷︷ ︸riskminusfree investment (savings)
minus StΦ(minus d+(T minus t)
)︸ ︷︷ ︸
risky investment (short)
0 6 t 6 T
216
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Black-Scholes Pricing and Hedging
In Figure 613 we plot the Delta of the European put option as a function ofthe underlying asset price and of the time remaining until maturity
Payoff function (x-K)+
0
50
100
150
200
Underlying
0
5
10
15 Time to maturity T-t
-1
-075
-05
-025
0
Fig 613 Delta of a European put option with strike price K = 100 r = 3 σ = 10
Numerical example - hedging of a put option
For one more example we consider a put option issued by BNP Paribas on04 November 2008 with strike price K=$77667 maturity T = October 052009 and entitlement ratio 92593 cf page 9 In the next Figure 614 thenumber of days is counted from the origin not from maturity
40 50 60 70 80 90 100
0 50 100 150 200
0 5
10 15 20 25 30 35 40 45
Underlying (HK$)Time in days
Fig 614 Path of the Black-Scholes price for a put option on HSBC
As a consequence of Proposition 67 the amount invested on the risky assetfor the hedging of a put option is
minusStΦ(minus d+(T minus t)
)= minusStΦ
(minus log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)6 0
217
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
ie there is always short selling and the amount invested on the riskless assetpriced At = ert t isin [0T ] is
ηtAt = K eminus(Tminust)rΦ(minus dminus(T minus t)
)= K eminus(Tminust)rΦ
(minus log(StK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)gt 0
which is always nonnegative ie we are constantly saving money on theriskless asset as noted in Figure 615
-60
-40
-20
0
20
40
60
80
100
0 50 100 150 200
K
HK$
Black-Scholes priceRisky investment ξtSt
Riskless investment ηtAtUnderlying asset price
Fig 615 Time evolution of the hedging portfolio for a put option on HSBC
In the above example the put option finished out of the money (OTM) so thatno cash settlement or physical delivery occurs A comparison of Figure 610with market data can be found in Figures 913 and 914 below
64 Market Terms and Data
The following Table 61 provides a summary of formulas for the computationof Black-Scholes sensitivities also called Greekslowast
lowast ldquoEvery class feels like attending a Greek lessonrdquo (AY2018-2019 student feedback)
218
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
Call option Put option
Option price g(tSt) StΦ(d+(T minus t))minusK eminus(Tminust)rΦ(dminus(T minus t)) K eminus(Tminust)rΦ(minusdminus(T minus t))minus StΦ(minusd+(T minus t))
Delta (∆) partg
partx(tSt) Φ(d+(T minus t)) gt 0 minusΦ(minusd+(T minus t)) 6 0
Gamma (Γ) part2g
partx2 (tSt)Φprime(d+(T minus t))St|σ|
radicT minus t
gt 0
Vega partg
partσ(tSt) St
radicT minus tΦprime(d+(T minus t)) gt 0
Theta (Θ) partg
partt(tSt) minusSt|σ|Φ
prime(d+(T minus t))2radicT minus t
minus rK eminus(Tminust)rΦ(dminus(T minus t)) 6 0 minusSt|σ|Φprime(d+(T minus t))
2radicT minus t
+ rK eminus(Tminust)rΦ(minusdminus(T minus t))
Rho (ρ) partg
partr(tSt) K(T minus t) eminus(Tminust)rΦ(dminus(T minus t)) minusK(T minus t) eminus(Tminust)rΦ(minusdminus(T minus t))
Table 61 Black-Scholes Greeks (Wikipedia)
From Table 61 we can conclude that call option prices are increasing func-tions of the underlying asset price St of the interest rate r and of the volatil-ity parameter σ Similarly put option prices are decreasing functions of theunderlying asset price St of the interest rate r and increasing functions ofthe volatility parameter σ
Parameter Variation of call option prices Variation of put option prices
Underlying St increasing decreasing
Volatility σ increasing increasing
Time t decreasing depends on the underlying price level
Interest rate r increasing decreasing
Table 62 Variations of Black-Scholes prices
The change of sign of the sensitivity Theta (Θ) with respect to time t can beverified in the following Figure 616
219
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
N Privault
(a) Black-Scholes call price maps (b) Black-Scholes put price maps
Fig 616 Time-dependent solutions of the Black-Scholes PDElowast
Intrinsic value The intrinsic value at time t isin [0T ] of the option withpayoff C = h
(S(1)T
)is given by the immediate exercise payoff h
(S(1)t
) The
extrinsic value at time t isin [0T ] of the option is the remaining differenceπt(C) minus h
(S(1)t
)between the option price πt(C) and the immediate ex-
ercise payoff h(S(1)t
) In general the option price πt(C) decomposes as
πt(C) = h(S(1)t
)︸ ︷︷ ︸intrinsic value
+ πt(C)minus h(S(1)t
)︸ ︷︷ ︸
extrinsic value
0 6 t 6 T ]
Gearing The gearing at time t isin [0T ] of the option with payoff C = h(ST )is defined as the ratio
Gt =St
πt(C)=
Stg(tSt)
0 6 t 6 T
Effective gearing The effective gearing at time t isin [0T ] of the option withpayoff C = h(ST ) is defined as the ratio
Get = Gtξt
=ξtStπt(C)
=St
πt(C)
partg
partx(tSt)
=St
g(tSt)partg
partx(tSt)
= Stpart
partxlog g(tSt) 0 6 t 6 T
lowast The animation works in Acrobat Reader on the entire pdf file
220
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
The effective gearingGet =
ξtStπt(C)
can be interpreted as the hedge ratio ie the percentage of the portfoliowhich is invested on the risky asset When written as
∆g(tSt)g(tSt)
= Get times
∆StSt
the effective gearing gives the relative variation or percentage change∆g(tSt)g(tSt) of the option price g(tSt) from the relative variation∆StSt in the underlying asset price
The ratio Get = Stpart log g(tSt)partx can also be interpreted as an elasticity
coefficient
Break-even price The break-even price BEPt of the underlying asset is thevalue of S for which the intrinsic option value h(S) equals the option priceπt(C) at time t isin [0T ] For European call options it is given by
BEPt = K + πt(C) = K + g(tSt) t = 0 1 N
whereas for European put options it is given by
BEPt = K minus πt(C) = K minus g(tSt) 0 6 t 6 T
Premium The option premium OPt can be defined as the variation requiredfrom the underlying asset price in order to reach the break-even price iewe have
OPt =BEPt minus St
St=K + g(tSt)minus St
St 0 6 t 6 T
for European call options and
OPt =St minusBEPt
St=St + g(tSt)minusK
St 0 6 t 6 T
for European put options see Figure 617 below The term ldquopremiumrdquo issometimes also used to denote the arbitrage price g(tSt) of the option
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f (tx σ)100
=
x =
K =
xpart log f
partx=
σ =
partf
partt(tx σ)=
T=
=(xminusK)x
∆ = = partf
partx(tx σ)
= partf
partσ(tx σ)
=K+f (txσ)minusx
x
=K+f (tx σ)
rf=
partf
partt+rxpartf
partx+
σ2 2x2part2f
partx2
Fig 617 Warrant terms and data
The R package bizdays (requires to install QuantLib) can be used to computecalendar time vs business time to maturity1 installpackages(bizdays)
library(bizdays)3 load_quantlib_calendars(HongKong from=2018-01-01 to=2018-12-31)
load_quantlib_calendars(Singapore from=2018-01-01 to=2018-12-31)5 bizdays(2018-03-10 2018-04-03 QuantLibHongKong)
bizdays(2018-03-10 2018-04-03 QuantLibSingapore)
65 The Heat Equation
In the next proposition we notice that the solution f(tx) of the Black-Scholes PDE (67) can be transformed into a solution g(t y) of the simplerheat equation by a change of variable and a time inversion t 7minusrarr T minus t onthe interval [0T ] so that the terminal condition at time T in the Black-Scholes equation (622) becomes an initial condition at time t = 0 in theheat equation (625) See also here for a related discussion on changes ofvariables for the Black-Scholes PDE
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Black-Scholes Pricing and Hedging
Proposition 68 Assume that f(tx) solves the Black-Scholes PDErf(tx) = partf
partt(tx) + rx
partf
partx(tx) + 1
2σ2x2 part
2f
partx2 (tx)
f(T x) = (xminusK)+(622)
with terminal condition h(x) = (xminusK)+ x gt 0 Then the function g(t y)defined by
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t) (623)
solves the heat equation (625) with initial condition
ψ(y) = h(
e|σ|y) y isin R (624)
ie we have partg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = h(
e|σ|y)
(625)
Proposition 68 will be proved in Section 66 It will allow us to solve theBlack-Scholes PDE (622) based on the solution of the heat equation (625)with initial condition ψ(y) = h
(e|σ|y
) y isin R by inversion of Relation (623)
with s = T minus t x = e|σ|y+(σ22minusr)t ie
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)
Next we focus on the heat equation
partϕ
partt(t y) = 1
2part2ϕ
party2 (t y) (626)
which is used to model the diffusion of heat over time through solids Herethe data of g(x t) represents the temperature measured at time t and pointx We refer the reader to Widder (1975) for a complete treatment of thistopic
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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Black-Scholes Pricing and Hedging
In Figure 613 we plot the Delta of the European put option as a function ofthe underlying asset price and of the time remaining until maturity
Payoff function (x-K)+
0
50
100
150
200
Underlying
0
5
10
15 Time to maturity T-t
-1
-075
-05
-025
0
Fig 613 Delta of a European put option with strike price K = 100 r = 3 σ = 10
Numerical example - hedging of a put option
For one more example we consider a put option issued by BNP Paribas on04 November 2008 with strike price K=$77667 maturity T = October 052009 and entitlement ratio 92593 cf page 9 In the next Figure 614 thenumber of days is counted from the origin not from maturity
40 50 60 70 80 90 100
0 50 100 150 200
0 5
10 15 20 25 30 35 40 45
Underlying (HK$)Time in days
Fig 614 Path of the Black-Scholes price for a put option on HSBC
As a consequence of Proposition 67 the amount invested on the risky assetfor the hedging of a put option is
minusStΦ(minus d+(T minus t)
)= minusStΦ
(minus log(StK) + (r+ σ22)(T minus t)
|σ|radicT minus t
)6 0
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ie there is always short selling and the amount invested on the riskless assetpriced At = ert t isin [0T ] is
ηtAt = K eminus(Tminust)rΦ(minus dminus(T minus t)
)= K eminus(Tminust)rΦ
(minus log(StK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)gt 0
which is always nonnegative ie we are constantly saving money on theriskless asset as noted in Figure 615
-60
-40
-20
0
20
40
60
80
100
0 50 100 150 200
K
HK$
Black-Scholes priceRisky investment ξtSt
Riskless investment ηtAtUnderlying asset price
Fig 615 Time evolution of the hedging portfolio for a put option on HSBC
In the above example the put option finished out of the money (OTM) so thatno cash settlement or physical delivery occurs A comparison of Figure 610with market data can be found in Figures 913 and 914 below
64 Market Terms and Data
The following Table 61 provides a summary of formulas for the computationof Black-Scholes sensitivities also called Greekslowast
lowast ldquoEvery class feels like attending a Greek lessonrdquo (AY2018-2019 student feedback)
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Black-Scholes Pricing and Hedging
Call option Put option
Option price g(tSt) StΦ(d+(T minus t))minusK eminus(Tminust)rΦ(dminus(T minus t)) K eminus(Tminust)rΦ(minusdminus(T minus t))minus StΦ(minusd+(T minus t))
Delta (∆) partg
partx(tSt) Φ(d+(T minus t)) gt 0 minusΦ(minusd+(T minus t)) 6 0
Gamma (Γ) part2g
partx2 (tSt)Φprime(d+(T minus t))St|σ|
radicT minus t
gt 0
Vega partg
partσ(tSt) St
radicT minus tΦprime(d+(T minus t)) gt 0
Theta (Θ) partg
partt(tSt) minusSt|σ|Φ
prime(d+(T minus t))2radicT minus t
minus rK eminus(Tminust)rΦ(dminus(T minus t)) 6 0 minusSt|σ|Φprime(d+(T minus t))
2radicT minus t
+ rK eminus(Tminust)rΦ(minusdminus(T minus t))
Rho (ρ) partg
partr(tSt) K(T minus t) eminus(Tminust)rΦ(dminus(T minus t)) minusK(T minus t) eminus(Tminust)rΦ(minusdminus(T minus t))
Table 61 Black-Scholes Greeks (Wikipedia)
From Table 61 we can conclude that call option prices are increasing func-tions of the underlying asset price St of the interest rate r and of the volatil-ity parameter σ Similarly put option prices are decreasing functions of theunderlying asset price St of the interest rate r and increasing functions ofthe volatility parameter σ
Parameter Variation of call option prices Variation of put option prices
Underlying St increasing decreasing
Volatility σ increasing increasing
Time t decreasing depends on the underlying price level
Interest rate r increasing decreasing
Table 62 Variations of Black-Scholes prices
The change of sign of the sensitivity Theta (Θ) with respect to time t can beverified in the following Figure 616
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N Privault
(a) Black-Scholes call price maps (b) Black-Scholes put price maps
Fig 616 Time-dependent solutions of the Black-Scholes PDElowast
Intrinsic value The intrinsic value at time t isin [0T ] of the option withpayoff C = h
(S(1)T
)is given by the immediate exercise payoff h
(S(1)t
) The
extrinsic value at time t isin [0T ] of the option is the remaining differenceπt(C) minus h
(S(1)t
)between the option price πt(C) and the immediate ex-
ercise payoff h(S(1)t
) In general the option price πt(C) decomposes as
πt(C) = h(S(1)t
)︸ ︷︷ ︸intrinsic value
+ πt(C)minus h(S(1)t
)︸ ︷︷ ︸
extrinsic value
0 6 t 6 T ]
Gearing The gearing at time t isin [0T ] of the option with payoff C = h(ST )is defined as the ratio
Gt =St
πt(C)=
Stg(tSt)
0 6 t 6 T
Effective gearing The effective gearing at time t isin [0T ] of the option withpayoff C = h(ST ) is defined as the ratio
Get = Gtξt
=ξtStπt(C)
=St
πt(C)
partg
partx(tSt)
=St
g(tSt)partg
partx(tSt)
= Stpart
partxlog g(tSt) 0 6 t 6 T
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
The effective gearingGet =
ξtStπt(C)
can be interpreted as the hedge ratio ie the percentage of the portfoliowhich is invested on the risky asset When written as
∆g(tSt)g(tSt)
= Get times
∆StSt
the effective gearing gives the relative variation or percentage change∆g(tSt)g(tSt) of the option price g(tSt) from the relative variation∆StSt in the underlying asset price
The ratio Get = Stpart log g(tSt)partx can also be interpreted as an elasticity
coefficient
Break-even price The break-even price BEPt of the underlying asset is thevalue of S for which the intrinsic option value h(S) equals the option priceπt(C) at time t isin [0T ] For European call options it is given by
BEPt = K + πt(C) = K + g(tSt) t = 0 1 N
whereas for European put options it is given by
BEPt = K minus πt(C) = K minus g(tSt) 0 6 t 6 T
Premium The option premium OPt can be defined as the variation requiredfrom the underlying asset price in order to reach the break-even price iewe have
OPt =BEPt minus St
St=K + g(tSt)minus St
St 0 6 t 6 T
for European call options and
OPt =St minusBEPt
St=St + g(tSt)minusK
St 0 6 t 6 T
for European put options see Figure 617 below The term ldquopremiumrdquo issometimes also used to denote the arbitrage price g(tSt) of the option
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f (tx σ)100
=
x =
K =
xpart log f
partx=
σ =
partf
partt(tx σ)=
T=
=(xminusK)x
∆ = = partf
partx(tx σ)
= partf
partσ(tx σ)
=K+f (txσ)minusx
x
=K+f (tx σ)
rf=
partf
partt+rxpartf
partx+
σ2 2x2part2f
partx2
Fig 617 Warrant terms and data
The R package bizdays (requires to install QuantLib) can be used to computecalendar time vs business time to maturity1 installpackages(bizdays)
library(bizdays)3 load_quantlib_calendars(HongKong from=2018-01-01 to=2018-12-31)
load_quantlib_calendars(Singapore from=2018-01-01 to=2018-12-31)5 bizdays(2018-03-10 2018-04-03 QuantLibHongKong)
bizdays(2018-03-10 2018-04-03 QuantLibSingapore)
65 The Heat Equation
In the next proposition we notice that the solution f(tx) of the Black-Scholes PDE (67) can be transformed into a solution g(t y) of the simplerheat equation by a change of variable and a time inversion t 7minusrarr T minus t onthe interval [0T ] so that the terminal condition at time T in the Black-Scholes equation (622) becomes an initial condition at time t = 0 in theheat equation (625) See also here for a related discussion on changes ofvariables for the Black-Scholes PDE
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Black-Scholes Pricing and Hedging
Proposition 68 Assume that f(tx) solves the Black-Scholes PDErf(tx) = partf
partt(tx) + rx
partf
partx(tx) + 1
2σ2x2 part
2f
partx2 (tx)
f(T x) = (xminusK)+(622)
with terminal condition h(x) = (xminusK)+ x gt 0 Then the function g(t y)defined by
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t) (623)
solves the heat equation (625) with initial condition
ψ(y) = h(
e|σ|y) y isin R (624)
ie we have partg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = h(
e|σ|y)
(625)
Proposition 68 will be proved in Section 66 It will allow us to solve theBlack-Scholes PDE (622) based on the solution of the heat equation (625)with initial condition ψ(y) = h
(e|σ|y
) y isin R by inversion of Relation (623)
with s = T minus t x = e|σ|y+(σ22minusr)t ie
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)
Next we focus on the heat equation
partϕ
partt(t y) = 1
2part2ϕ
party2 (t y) (626)
which is used to model the diffusion of heat over time through solids Herethe data of g(x t) represents the temperature measured at time t and pointx We refer the reader to Widder (1975) for a complete treatment of thistopic
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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N Privault
we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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N Privault
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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ie there is always short selling and the amount invested on the riskless assetpriced At = ert t isin [0T ] is
ηtAt = K eminus(Tminust)rΦ(minus dminus(T minus t)
)= K eminus(Tminust)rΦ
(minus log(StK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)gt 0
which is always nonnegative ie we are constantly saving money on theriskless asset as noted in Figure 615
-60
-40
-20
0
20
40
60
80
100
0 50 100 150 200
K
HK$
Black-Scholes priceRisky investment ξtSt
Riskless investment ηtAtUnderlying asset price
Fig 615 Time evolution of the hedging portfolio for a put option on HSBC
In the above example the put option finished out of the money (OTM) so thatno cash settlement or physical delivery occurs A comparison of Figure 610with market data can be found in Figures 913 and 914 below
64 Market Terms and Data
The following Table 61 provides a summary of formulas for the computationof Black-Scholes sensitivities also called Greekslowast
lowast ldquoEvery class feels like attending a Greek lessonrdquo (AY2018-2019 student feedback)
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Black-Scholes Pricing and Hedging
Call option Put option
Option price g(tSt) StΦ(d+(T minus t))minusK eminus(Tminust)rΦ(dminus(T minus t)) K eminus(Tminust)rΦ(minusdminus(T minus t))minus StΦ(minusd+(T minus t))
Delta (∆) partg
partx(tSt) Φ(d+(T minus t)) gt 0 minusΦ(minusd+(T minus t)) 6 0
Gamma (Γ) part2g
partx2 (tSt)Φprime(d+(T minus t))St|σ|
radicT minus t
gt 0
Vega partg
partσ(tSt) St
radicT minus tΦprime(d+(T minus t)) gt 0
Theta (Θ) partg
partt(tSt) minusSt|σ|Φ
prime(d+(T minus t))2radicT minus t
minus rK eminus(Tminust)rΦ(dminus(T minus t)) 6 0 minusSt|σ|Φprime(d+(T minus t))
2radicT minus t
+ rK eminus(Tminust)rΦ(minusdminus(T minus t))
Rho (ρ) partg
partr(tSt) K(T minus t) eminus(Tminust)rΦ(dminus(T minus t)) minusK(T minus t) eminus(Tminust)rΦ(minusdminus(T minus t))
Table 61 Black-Scholes Greeks (Wikipedia)
From Table 61 we can conclude that call option prices are increasing func-tions of the underlying asset price St of the interest rate r and of the volatil-ity parameter σ Similarly put option prices are decreasing functions of theunderlying asset price St of the interest rate r and increasing functions ofthe volatility parameter σ
Parameter Variation of call option prices Variation of put option prices
Underlying St increasing decreasing
Volatility σ increasing increasing
Time t decreasing depends on the underlying price level
Interest rate r increasing decreasing
Table 62 Variations of Black-Scholes prices
The change of sign of the sensitivity Theta (Θ) with respect to time t can beverified in the following Figure 616
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(a) Black-Scholes call price maps (b) Black-Scholes put price maps
Fig 616 Time-dependent solutions of the Black-Scholes PDElowast
Intrinsic value The intrinsic value at time t isin [0T ] of the option withpayoff C = h
(S(1)T
)is given by the immediate exercise payoff h
(S(1)t
) The
extrinsic value at time t isin [0T ] of the option is the remaining differenceπt(C) minus h
(S(1)t
)between the option price πt(C) and the immediate ex-
ercise payoff h(S(1)t
) In general the option price πt(C) decomposes as
πt(C) = h(S(1)t
)︸ ︷︷ ︸intrinsic value
+ πt(C)minus h(S(1)t
)︸ ︷︷ ︸
extrinsic value
0 6 t 6 T ]
Gearing The gearing at time t isin [0T ] of the option with payoff C = h(ST )is defined as the ratio
Gt =St
πt(C)=
Stg(tSt)
0 6 t 6 T
Effective gearing The effective gearing at time t isin [0T ] of the option withpayoff C = h(ST ) is defined as the ratio
Get = Gtξt
=ξtStπt(C)
=St
πt(C)
partg
partx(tSt)
=St
g(tSt)partg
partx(tSt)
= Stpart
partxlog g(tSt) 0 6 t 6 T
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
The effective gearingGet =
ξtStπt(C)
can be interpreted as the hedge ratio ie the percentage of the portfoliowhich is invested on the risky asset When written as
∆g(tSt)g(tSt)
= Get times
∆StSt
the effective gearing gives the relative variation or percentage change∆g(tSt)g(tSt) of the option price g(tSt) from the relative variation∆StSt in the underlying asset price
The ratio Get = Stpart log g(tSt)partx can also be interpreted as an elasticity
coefficient
Break-even price The break-even price BEPt of the underlying asset is thevalue of S for which the intrinsic option value h(S) equals the option priceπt(C) at time t isin [0T ] For European call options it is given by
BEPt = K + πt(C) = K + g(tSt) t = 0 1 N
whereas for European put options it is given by
BEPt = K minus πt(C) = K minus g(tSt) 0 6 t 6 T
Premium The option premium OPt can be defined as the variation requiredfrom the underlying asset price in order to reach the break-even price iewe have
OPt =BEPt minus St
St=K + g(tSt)minus St
St 0 6 t 6 T
for European call options and
OPt =St minusBEPt
St=St + g(tSt)minusK
St 0 6 t 6 T
for European put options see Figure 617 below The term ldquopremiumrdquo issometimes also used to denote the arbitrage price g(tSt) of the option
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f (tx σ)100
=
x =
K =
xpart log f
partx=
σ =
partf
partt(tx σ)=
T=
=(xminusK)x
∆ = = partf
partx(tx σ)
= partf
partσ(tx σ)
=K+f (txσ)minusx
x
=K+f (tx σ)
rf=
partf
partt+rxpartf
partx+
σ2 2x2part2f
partx2
Fig 617 Warrant terms and data
The R package bizdays (requires to install QuantLib) can be used to computecalendar time vs business time to maturity1 installpackages(bizdays)
library(bizdays)3 load_quantlib_calendars(HongKong from=2018-01-01 to=2018-12-31)
load_quantlib_calendars(Singapore from=2018-01-01 to=2018-12-31)5 bizdays(2018-03-10 2018-04-03 QuantLibHongKong)
bizdays(2018-03-10 2018-04-03 QuantLibSingapore)
65 The Heat Equation
In the next proposition we notice that the solution f(tx) of the Black-Scholes PDE (67) can be transformed into a solution g(t y) of the simplerheat equation by a change of variable and a time inversion t 7minusrarr T minus t onthe interval [0T ] so that the terminal condition at time T in the Black-Scholes equation (622) becomes an initial condition at time t = 0 in theheat equation (625) See also here for a related discussion on changes ofvariables for the Black-Scholes PDE
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Black-Scholes Pricing and Hedging
Proposition 68 Assume that f(tx) solves the Black-Scholes PDErf(tx) = partf
partt(tx) + rx
partf
partx(tx) + 1
2σ2x2 part
2f
partx2 (tx)
f(T x) = (xminusK)+(622)
with terminal condition h(x) = (xminusK)+ x gt 0 Then the function g(t y)defined by
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t) (623)
solves the heat equation (625) with initial condition
ψ(y) = h(
e|σ|y) y isin R (624)
ie we have partg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = h(
e|σ|y)
(625)
Proposition 68 will be proved in Section 66 It will allow us to solve theBlack-Scholes PDE (622) based on the solution of the heat equation (625)with initial condition ψ(y) = h
(e|σ|y
) y isin R by inversion of Relation (623)
with s = T minus t x = e|σ|y+(σ22minusr)t ie
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)
Next we focus on the heat equation
partϕ
partt(t y) = 1
2part2ϕ
party2 (t y) (626)
which is used to model the diffusion of heat over time through solids Herethe data of g(x t) represents the temperature measured at time t and pointx We refer the reader to Widder (1975) for a complete treatment of thistopic
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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Black-Scholes Pricing and Hedging
Call option Put option
Option price g(tSt) StΦ(d+(T minus t))minusK eminus(Tminust)rΦ(dminus(T minus t)) K eminus(Tminust)rΦ(minusdminus(T minus t))minus StΦ(minusd+(T minus t))
Delta (∆) partg
partx(tSt) Φ(d+(T minus t)) gt 0 minusΦ(minusd+(T minus t)) 6 0
Gamma (Γ) part2g
partx2 (tSt)Φprime(d+(T minus t))St|σ|
radicT minus t
gt 0
Vega partg
partσ(tSt) St
radicT minus tΦprime(d+(T minus t)) gt 0
Theta (Θ) partg
partt(tSt) minusSt|σ|Φ
prime(d+(T minus t))2radicT minus t
minus rK eminus(Tminust)rΦ(dminus(T minus t)) 6 0 minusSt|σ|Φprime(d+(T minus t))
2radicT minus t
+ rK eminus(Tminust)rΦ(minusdminus(T minus t))
Rho (ρ) partg
partr(tSt) K(T minus t) eminus(Tminust)rΦ(dminus(T minus t)) minusK(T minus t) eminus(Tminust)rΦ(minusdminus(T minus t))
Table 61 Black-Scholes Greeks (Wikipedia)
From Table 61 we can conclude that call option prices are increasing func-tions of the underlying asset price St of the interest rate r and of the volatil-ity parameter σ Similarly put option prices are decreasing functions of theunderlying asset price St of the interest rate r and increasing functions ofthe volatility parameter σ
Parameter Variation of call option prices Variation of put option prices
Underlying St increasing decreasing
Volatility σ increasing increasing
Time t decreasing depends on the underlying price level
Interest rate r increasing decreasing
Table 62 Variations of Black-Scholes prices
The change of sign of the sensitivity Theta (Θ) with respect to time t can beverified in the following Figure 616
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(a) Black-Scholes call price maps (b) Black-Scholes put price maps
Fig 616 Time-dependent solutions of the Black-Scholes PDElowast
Intrinsic value The intrinsic value at time t isin [0T ] of the option withpayoff C = h
(S(1)T
)is given by the immediate exercise payoff h
(S(1)t
) The
extrinsic value at time t isin [0T ] of the option is the remaining differenceπt(C) minus h
(S(1)t
)between the option price πt(C) and the immediate ex-
ercise payoff h(S(1)t
) In general the option price πt(C) decomposes as
πt(C) = h(S(1)t
)︸ ︷︷ ︸intrinsic value
+ πt(C)minus h(S(1)t
)︸ ︷︷ ︸
extrinsic value
0 6 t 6 T ]
Gearing The gearing at time t isin [0T ] of the option with payoff C = h(ST )is defined as the ratio
Gt =St
πt(C)=
Stg(tSt)
0 6 t 6 T
Effective gearing The effective gearing at time t isin [0T ] of the option withpayoff C = h(ST ) is defined as the ratio
Get = Gtξt
=ξtStπt(C)
=St
πt(C)
partg
partx(tSt)
=St
g(tSt)partg
partx(tSt)
= Stpart
partxlog g(tSt) 0 6 t 6 T
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
The effective gearingGet =
ξtStπt(C)
can be interpreted as the hedge ratio ie the percentage of the portfoliowhich is invested on the risky asset When written as
∆g(tSt)g(tSt)
= Get times
∆StSt
the effective gearing gives the relative variation or percentage change∆g(tSt)g(tSt) of the option price g(tSt) from the relative variation∆StSt in the underlying asset price
The ratio Get = Stpart log g(tSt)partx can also be interpreted as an elasticity
coefficient
Break-even price The break-even price BEPt of the underlying asset is thevalue of S for which the intrinsic option value h(S) equals the option priceπt(C) at time t isin [0T ] For European call options it is given by
BEPt = K + πt(C) = K + g(tSt) t = 0 1 N
whereas for European put options it is given by
BEPt = K minus πt(C) = K minus g(tSt) 0 6 t 6 T
Premium The option premium OPt can be defined as the variation requiredfrom the underlying asset price in order to reach the break-even price iewe have
OPt =BEPt minus St
St=K + g(tSt)minus St
St 0 6 t 6 T
for European call options and
OPt =St minusBEPt
St=St + g(tSt)minusK
St 0 6 t 6 T
for European put options see Figure 617 below The term ldquopremiumrdquo issometimes also used to denote the arbitrage price g(tSt) of the option
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f (tx σ)100
=
x =
K =
xpart log f
partx=
σ =
partf
partt(tx σ)=
T=
=(xminusK)x
∆ = = partf
partx(tx σ)
= partf
partσ(tx σ)
=K+f (txσ)minusx
x
=K+f (tx σ)
rf=
partf
partt+rxpartf
partx+
σ2 2x2part2f
partx2
Fig 617 Warrant terms and data
The R package bizdays (requires to install QuantLib) can be used to computecalendar time vs business time to maturity1 installpackages(bizdays)
library(bizdays)3 load_quantlib_calendars(HongKong from=2018-01-01 to=2018-12-31)
load_quantlib_calendars(Singapore from=2018-01-01 to=2018-12-31)5 bizdays(2018-03-10 2018-04-03 QuantLibHongKong)
bizdays(2018-03-10 2018-04-03 QuantLibSingapore)
65 The Heat Equation
In the next proposition we notice that the solution f(tx) of the Black-Scholes PDE (67) can be transformed into a solution g(t y) of the simplerheat equation by a change of variable and a time inversion t 7minusrarr T minus t onthe interval [0T ] so that the terminal condition at time T in the Black-Scholes equation (622) becomes an initial condition at time t = 0 in theheat equation (625) See also here for a related discussion on changes ofvariables for the Black-Scholes PDE
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Black-Scholes Pricing and Hedging
Proposition 68 Assume that f(tx) solves the Black-Scholes PDErf(tx) = partf
partt(tx) + rx
partf
partx(tx) + 1
2σ2x2 part
2f
partx2 (tx)
f(T x) = (xminusK)+(622)
with terminal condition h(x) = (xminusK)+ x gt 0 Then the function g(t y)defined by
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t) (623)
solves the heat equation (625) with initial condition
ψ(y) = h(
e|σ|y) y isin R (624)
ie we have partg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = h(
e|σ|y)
(625)
Proposition 68 will be proved in Section 66 It will allow us to solve theBlack-Scholes PDE (622) based on the solution of the heat equation (625)with initial condition ψ(y) = h
(e|σ|y
) y isin R by inversion of Relation (623)
with s = T minus t x = e|σ|y+(σ22minusr)t ie
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)
Next we focus on the heat equation
partϕ
partt(t y) = 1
2part2ϕ
party2 (t y) (626)
which is used to model the diffusion of heat over time through solids Herethe data of g(x t) represents the temperature measured at time t and pointx We refer the reader to Widder (1975) for a complete treatment of thistopic
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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(a) Black-Scholes call price maps (b) Black-Scholes put price maps
Fig 616 Time-dependent solutions of the Black-Scholes PDElowast
Intrinsic value The intrinsic value at time t isin [0T ] of the option withpayoff C = h
(S(1)T
)is given by the immediate exercise payoff h
(S(1)t
) The
extrinsic value at time t isin [0T ] of the option is the remaining differenceπt(C) minus h
(S(1)t
)between the option price πt(C) and the immediate ex-
ercise payoff h(S(1)t
) In general the option price πt(C) decomposes as
πt(C) = h(S(1)t
)︸ ︷︷ ︸intrinsic value
+ πt(C)minus h(S(1)t
)︸ ︷︷ ︸
extrinsic value
0 6 t 6 T ]
Gearing The gearing at time t isin [0T ] of the option with payoff C = h(ST )is defined as the ratio
Gt =St
πt(C)=
Stg(tSt)
0 6 t 6 T
Effective gearing The effective gearing at time t isin [0T ] of the option withpayoff C = h(ST ) is defined as the ratio
Get = Gtξt
=ξtStπt(C)
=St
πt(C)
partg
partx(tSt)
=St
g(tSt)partg
partx(tSt)
= Stpart
partxlog g(tSt) 0 6 t 6 T
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Black-Scholes Pricing and Hedging
The effective gearingGet =
ξtStπt(C)
can be interpreted as the hedge ratio ie the percentage of the portfoliowhich is invested on the risky asset When written as
∆g(tSt)g(tSt)
= Get times
∆StSt
the effective gearing gives the relative variation or percentage change∆g(tSt)g(tSt) of the option price g(tSt) from the relative variation∆StSt in the underlying asset price
The ratio Get = Stpart log g(tSt)partx can also be interpreted as an elasticity
coefficient
Break-even price The break-even price BEPt of the underlying asset is thevalue of S for which the intrinsic option value h(S) equals the option priceπt(C) at time t isin [0T ] For European call options it is given by
BEPt = K + πt(C) = K + g(tSt) t = 0 1 N
whereas for European put options it is given by
BEPt = K minus πt(C) = K minus g(tSt) 0 6 t 6 T
Premium The option premium OPt can be defined as the variation requiredfrom the underlying asset price in order to reach the break-even price iewe have
OPt =BEPt minus St
St=K + g(tSt)minus St
St 0 6 t 6 T
for European call options and
OPt =St minusBEPt
St=St + g(tSt)minusK
St 0 6 t 6 T
for European put options see Figure 617 below The term ldquopremiumrdquo issometimes also used to denote the arbitrage price g(tSt) of the option
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f (tx σ)100
=
x =
K =
xpart log f
partx=
σ =
partf
partt(tx σ)=
T=
=(xminusK)x
∆ = = partf
partx(tx σ)
= partf
partσ(tx σ)
=K+f (txσ)minusx
x
=K+f (tx σ)
rf=
partf
partt+rxpartf
partx+
σ2 2x2part2f
partx2
Fig 617 Warrant terms and data
The R package bizdays (requires to install QuantLib) can be used to computecalendar time vs business time to maturity1 installpackages(bizdays)
library(bizdays)3 load_quantlib_calendars(HongKong from=2018-01-01 to=2018-12-31)
load_quantlib_calendars(Singapore from=2018-01-01 to=2018-12-31)5 bizdays(2018-03-10 2018-04-03 QuantLibHongKong)
bizdays(2018-03-10 2018-04-03 QuantLibSingapore)
65 The Heat Equation
In the next proposition we notice that the solution f(tx) of the Black-Scholes PDE (67) can be transformed into a solution g(t y) of the simplerheat equation by a change of variable and a time inversion t 7minusrarr T minus t onthe interval [0T ] so that the terminal condition at time T in the Black-Scholes equation (622) becomes an initial condition at time t = 0 in theheat equation (625) See also here for a related discussion on changes ofvariables for the Black-Scholes PDE
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Proposition 68 Assume that f(tx) solves the Black-Scholes PDErf(tx) = partf
partt(tx) + rx
partf
partx(tx) + 1
2σ2x2 part
2f
partx2 (tx)
f(T x) = (xminusK)+(622)
with terminal condition h(x) = (xminusK)+ x gt 0 Then the function g(t y)defined by
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t) (623)
solves the heat equation (625) with initial condition
ψ(y) = h(
e|σ|y) y isin R (624)
ie we have partg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = h(
e|σ|y)
(625)
Proposition 68 will be proved in Section 66 It will allow us to solve theBlack-Scholes PDE (622) based on the solution of the heat equation (625)with initial condition ψ(y) = h
(e|σ|y
) y isin R by inversion of Relation (623)
with s = T minus t x = e|σ|y+(σ22minusr)t ie
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)
Next we focus on the heat equation
partϕ
partt(t y) = 1
2part2ϕ
party2 (t y) (626)
which is used to model the diffusion of heat over time through solids Herethe data of g(x t) represents the temperature measured at time t and pointx We refer the reader to Widder (1975) for a complete treatment of thistopic
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
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In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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Black-Scholes Pricing and Hedging
The effective gearingGet =
ξtStπt(C)
can be interpreted as the hedge ratio ie the percentage of the portfoliowhich is invested on the risky asset When written as
∆g(tSt)g(tSt)
= Get times
∆StSt
the effective gearing gives the relative variation or percentage change∆g(tSt)g(tSt) of the option price g(tSt) from the relative variation∆StSt in the underlying asset price
The ratio Get = Stpart log g(tSt)partx can also be interpreted as an elasticity
coefficient
Break-even price The break-even price BEPt of the underlying asset is thevalue of S for which the intrinsic option value h(S) equals the option priceπt(C) at time t isin [0T ] For European call options it is given by
BEPt = K + πt(C) = K + g(tSt) t = 0 1 N
whereas for European put options it is given by
BEPt = K minus πt(C) = K minus g(tSt) 0 6 t 6 T
Premium The option premium OPt can be defined as the variation requiredfrom the underlying asset price in order to reach the break-even price iewe have
OPt =BEPt minus St
St=K + g(tSt)minus St
St 0 6 t 6 T
for European call options and
OPt =St minusBEPt
St=St + g(tSt)minusK
St 0 6 t 6 T
for European put options see Figure 617 below The term ldquopremiumrdquo issometimes also used to denote the arbitrage price g(tSt) of the option
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f (tx σ)100
=
x =
K =
xpart log f
partx=
σ =
partf
partt(tx σ)=
T=
=(xminusK)x
∆ = = partf
partx(tx σ)
= partf
partσ(tx σ)
=K+f (txσ)minusx
x
=K+f (tx σ)
rf=
partf
partt+rxpartf
partx+
σ2 2x2part2f
partx2
Fig 617 Warrant terms and data
The R package bizdays (requires to install QuantLib) can be used to computecalendar time vs business time to maturity1 installpackages(bizdays)
library(bizdays)3 load_quantlib_calendars(HongKong from=2018-01-01 to=2018-12-31)
load_quantlib_calendars(Singapore from=2018-01-01 to=2018-12-31)5 bizdays(2018-03-10 2018-04-03 QuantLibHongKong)
bizdays(2018-03-10 2018-04-03 QuantLibSingapore)
65 The Heat Equation
In the next proposition we notice that the solution f(tx) of the Black-Scholes PDE (67) can be transformed into a solution g(t y) of the simplerheat equation by a change of variable and a time inversion t 7minusrarr T minus t onthe interval [0T ] so that the terminal condition at time T in the Black-Scholes equation (622) becomes an initial condition at time t = 0 in theheat equation (625) See also here for a related discussion on changes ofvariables for the Black-Scholes PDE
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Black-Scholes Pricing and Hedging
Proposition 68 Assume that f(tx) solves the Black-Scholes PDErf(tx) = partf
partt(tx) + rx
partf
partx(tx) + 1
2σ2x2 part
2f
partx2 (tx)
f(T x) = (xminusK)+(622)
with terminal condition h(x) = (xminusK)+ x gt 0 Then the function g(t y)defined by
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t) (623)
solves the heat equation (625) with initial condition
ψ(y) = h(
e|σ|y) y isin R (624)
ie we have partg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = h(
e|σ|y)
(625)
Proposition 68 will be proved in Section 66 It will allow us to solve theBlack-Scholes PDE (622) based on the solution of the heat equation (625)with initial condition ψ(y) = h
(e|σ|y
) y isin R by inversion of Relation (623)
with s = T minus t x = e|σ|y+(σ22minusr)t ie
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)
Next we focus on the heat equation
partϕ
partt(t y) = 1
2part2ϕ
party2 (t y) (626)
which is used to model the diffusion of heat over time through solids Herethe data of g(x t) represents the temperature measured at time t and pointx We refer the reader to Widder (1975) for a complete treatment of thistopic
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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f (tx σ)100
=
x =
K =
xpart log f
partx=
σ =
partf
partt(tx σ)=
T=
=(xminusK)x
∆ = = partf
partx(tx σ)
= partf
partσ(tx σ)
=K+f (txσ)minusx
x
=K+f (tx σ)
rf=
partf
partt+rxpartf
partx+
σ2 2x2part2f
partx2
Fig 617 Warrant terms and data
The R package bizdays (requires to install QuantLib) can be used to computecalendar time vs business time to maturity1 installpackages(bizdays)
library(bizdays)3 load_quantlib_calendars(HongKong from=2018-01-01 to=2018-12-31)
load_quantlib_calendars(Singapore from=2018-01-01 to=2018-12-31)5 bizdays(2018-03-10 2018-04-03 QuantLibHongKong)
bizdays(2018-03-10 2018-04-03 QuantLibSingapore)
65 The Heat Equation
In the next proposition we notice that the solution f(tx) of the Black-Scholes PDE (67) can be transformed into a solution g(t y) of the simplerheat equation by a change of variable and a time inversion t 7minusrarr T minus t onthe interval [0T ] so that the terminal condition at time T in the Black-Scholes equation (622) becomes an initial condition at time t = 0 in theheat equation (625) See also here for a related discussion on changes ofvariables for the Black-Scholes PDE
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Black-Scholes Pricing and Hedging
Proposition 68 Assume that f(tx) solves the Black-Scholes PDErf(tx) = partf
partt(tx) + rx
partf
partx(tx) + 1
2σ2x2 part
2f
partx2 (tx)
f(T x) = (xminusK)+(622)
with terminal condition h(x) = (xminusK)+ x gt 0 Then the function g(t y)defined by
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t) (623)
solves the heat equation (625) with initial condition
ψ(y) = h(
e|σ|y) y isin R (624)
ie we have partg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = h(
e|σ|y)
(625)
Proposition 68 will be proved in Section 66 It will allow us to solve theBlack-Scholes PDE (622) based on the solution of the heat equation (625)with initial condition ψ(y) = h
(e|σ|y
) y isin R by inversion of Relation (623)
with s = T minus t x = e|σ|y+(σ22minusr)t ie
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)
Next we focus on the heat equation
partϕ
partt(t y) = 1
2part2ϕ
party2 (t y) (626)
which is used to model the diffusion of heat over time through solids Herethe data of g(x t) represents the temperature measured at time t and pointx We refer the reader to Widder (1975) for a complete treatment of thistopic
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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Black-Scholes Pricing and Hedging
Proposition 68 Assume that f(tx) solves the Black-Scholes PDErf(tx) = partf
partt(tx) + rx
partf
partx(tx) + 1
2σ2x2 part
2f
partx2 (tx)
f(T x) = (xminusK)+(622)
with terminal condition h(x) = (xminusK)+ x gt 0 Then the function g(t y)defined by
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t) (623)
solves the heat equation (625) with initial condition
ψ(y) = h(
e|σ|y) y isin R (624)
ie we have partg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = h(
e|σ|y)
(625)
Proposition 68 will be proved in Section 66 It will allow us to solve theBlack-Scholes PDE (622) based on the solution of the heat equation (625)with initial condition ψ(y) = h
(e|σ|y
) y isin R by inversion of Relation (623)
with s = T minus t x = e|σ|y+(σ22minusr)t ie
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)
Next we focus on the heat equation
partϕ
partt(t y) = 1
2part2ϕ
party2 (t y) (626)
which is used to model the diffusion of heat over time through solids Herethe data of g(x t) represents the temperature measured at time t and pointx We refer the reader to Widder (1975) for a complete treatment of thistopic
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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Fig 618 Time-dependent solution of the heat equationlowast
Proposition 69 The fundamental solution of the heat equation (626) isgiven by the Gaussian probability density function
ϕ(t y) =1radic2πt
eminusy2(2t) y isin R
with variance t gt 0
Proof The proof is done by a direct calculation as follows
partϕ
partt(t y) = part
partt
(eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2t32radic
2π+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y)
and
12part2ϕ
party2 (t y) = minus12part
party
(y
t
eminusy2(2t)radic
2πt
)
= minus eminusy2(2t)
2tradic
2πt+
y2
2t2eminusy2(2t)radic
2πt
=
(minus 1
2t +y2
2t2
)ϕ(t y) t gt 0 y isin R
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
234
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Black-Scholes Pricing and Hedging
In Section 66 the heat equation (626) will be shown to be equivalent to theBlack-Scholes PDE after a change of variables In particular this will lead tothe explicit solution of the Black-Scholes PDE
Proposition 610 The heat equationpartg
partt(t y) = 1
2part2g
party2 (t y)
g(0 y) = ψ(y)
(627)
with continuous initial condition
g(0 y) = ψ(y)
has the solution
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
y isin R t gt 0 (628)
Proof We have
partg
partt(t y) = part
partt
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(z)part
partt
(eminus(yminusz)2(2t)radic
2πt
)dz
=12winfinminusinfin
ψ(z)
((yminus z)2
t2minus 1t
)eminus(yminusz)2(2t) dzradic
2πt
=12winfinminusinfin
ψ(z)part2
partz2 eminus(yminusz)2(2t) dzradic2πt
=12winfinminusinfin
ψ(z)part2
party2 eminus(yminusz)2(2t) dzradic2πt
=12part2
party2
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=12part2g
party2 (t y)
On the other hand it can be checked that at time t = 0 we have
limtrarr0
winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
= limtrarr0
winfinminusinfin
ψ(y+ z) eminusz2(2t) dzradic2πt
= ψ(y) y isin R
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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The next Figure 619 shows the evolution of g(tx) with initial conditionbased on the European call payoff function h(x) = (xminusK)+ ie
g(0 y) = ψ(y) = h(
e|σ|y)=(
e|σ|y minusK)+ y isin R
Fig 619 Time-dependent solution of the heat equationlowast
Let us provide a second proof of Proposition 610 this time using Brownianmotion and stochastic calculus
Proof of Proposition 610 First note that under the change of variable x =z minus y we have
g(t y) =winfinminusinfin
ψ(z) eminus(yminusz)2(2t) dzradic2πt
=winfinminusinfin
ψ(y+ x) eminusx2(2t) dxradic2πt
= IE[ψ(y+Bt)]
= IE[ψ(yminusBt)]
where (Bt)tisinR+ is a standard Brownian motion and Bt N (0 t) t isin R+Applying Itocircrsquos formula and using the fact that the expectation of the stochas-tic integral with respect to Brownian motion is zero see Relation (417) inProposition 420 we find
g(t y) = IE[ψ(yminusBt)]
= ψ(y)minus IE[w t
0ψprime(yminusBs)dBs
]+
12 IE
[w t0ψprimeprime(yminusBs)ds
]= ψ(y) +
12w t
0IE[ψprimeprime(yminusBs)
]ds
lowast The animation works in Acrobat Reader on the entire pdf file
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= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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Black-Scholes Pricing and Hedging
= ψ(y) +12w t
0part2
party2 IE [ψ(yminusBs)] ds
= ψ(y) +12w t
0part2g
party2 (s y)ds
Hence we have
partg
partt(t y) = part
parttIE[ψ(yminusBt)]
=12part2
party2 IE [ψ(yminusBt)]
=12part2g
party2 (t y)
Regarding the initial condition we check that
g(0 y) = IE[ψ(yminusB0)] = IE[ψ(y)] = ψ(y)
The expression g(t y) = IE[ψ(yminusBt)] provides a probabilistic interpreta-tion of the heat diffusion phenomenon based on Brownian motion Namelywhen ψε(y) = 1[minusεε](y) we find that
gε(t y) = IE[ψε(yminusBt)]= IE[1[minusεε](yminusBt)]= P
(yminusBt isin [minusε ε]
)= P
(yminus ε 6 Bt 6 y+ ε
)represents the probability of finding Bt within a neighborhood [y minus ε y + ε]of the point y isin R
66 Solution of the Black-Scholes PDE
In this section we solve the Black-Scholes PDE by the kernel method of Sec-tion 65 and a change of variables This solution method uses the change ofvariables (623) of Proposition 68 and a time inversion from which the ter-minal condition at time T in the Black-Scholes equation becomes an initialcondition at time t = 0 in the heat equation
Next we state the proof Proposition 68
Proof Letting s = T minus t and x = e|σ|y+(σ22minusr)t and using Relation (623)ie
g(t y) = ertf(T minus t e|σ|y+(σ22minusr)t)
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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we have
partg
partt(t y) = r ertf
(T minus t e|σ|y+(σ22minusr)t)minus ert partf
parts
(T minus t e|σ|y+(σ22minusr)t)
+
(σ2
2 minus r)
ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
= r ertf(T minus tx)minus ert partfparts
(T minus tx) +(σ2
2 minus r)
ertxpartfpartx
(T minus tx)
=12 ertx2σ2 part
2f
partx2 (T minus tx) +σ2
2 ertxpartfpartx
(T minus tx) (629)
where on the last step we used the Black-Scholes PDE On the other handwe have
partg
party(t y) = |σ| ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
and
12partg2
party2 (t y) =σ2
2 ert e|σ|y+(σ22minusr)t partf
partx
(T minus t e|σ|y+(σ22minusr)t)
+σ2
2 ert e2|σ|y+2(σ22minusr)t part2f
partx2(T minus t e|σ|y+(σ22minusr)t)
=σ2
2 ertxpartfpartx
(T minus tx) + σ2
2 ertx2 part2f
partx2 (T minus tx) (630)
We conclude by comparing (629) with (630) which shows that g(tx) solvesthe heat equation (627) with initial condition
g(0 y) = f(T e|σ|y
)= h
(e|σ|y
)
In the next proposition we derive the Black-Scholes formula (610) by solv-ing the PDE (622) The Black-Scholes formula will also be recovered by aprobabilistic argument via the computation of an expected value in Proposi-tion 77
Proposition 611 When h(x) = (x minusK)+ the solution of the Black-Scholes PDE (622) is given by
f(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
) x gt 0
whereΦ(x) =
1radic2π
w xminusinfin
eminusy22dy x isin R
and
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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Black-Scholes Pricing and Hedging
d+(T minus t) =
log(xK) + (r+ σ22)(T minus t)|σ|radicT minus t
dminus(T minus t) =log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
x gt 0 t isin [0T )
Proof By inversion of Relation (623) with s = T minus t and x = e|σ|y+(σ22minusr)twe get
f(sx) = eminus(Tminuss)rg(T minus s minus(σ
22minus r)(T minus s) + log x|σ|
)and
h(x) = ψ
(log x|σ|
) x gt 0 or ψ(y) = h
(e|σ|y
) y isin R
Hence using the solution (628) and Relation (624) we get
f(tx) = eminus(Tminust)rg(T minus t minus(σ
22minus r)(T minus t) + log x|σ|
)= eminus(Tminust)r
winfinminusinfin
ψ
(minus(σ22minus r)(T minus t) + log x
|σ|+ z
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
h(x e|σ|zminus(σ22minusr)(Tminust)) eminusz2(2(Tminust)) dzradic
2(T minus t)π
= eminus(Tminust)rwinfinminusinfin
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)+ eminusz2(2(Tminust)) dzradic2(T minus t)π
= eminus(Tminust)r
timeswinfin
(minusr+σ22)(Tminust)+log(Kx)|σ|
(x e|σ|zminus(σ22minusr)(Tminust) minusK
)eminusz2(2(Tminust)) dzradic
2(T minus t)π
= x eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(σ22minusr)(Tminust) eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
e|σ|zminus(Tminust)σ22minusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminust
eminus(zminus(Tminust)|σ|)2(2(Tminust)) dzradic2(T minus t)π
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
This version September 6 2020httpswwwntuedusghomenprivaultindexthtml
Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
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minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)
radicTminustminus(Tminust)|σ|
eminusz2(2(Tminust)) dzradic2(T minus t)π
minusK eminus(Tminust)rwinfinminusdminus(Tminust)
radicTminust
eminusz2(2(Tminust)) dzradic2(T minus t)π
= xwinfinminusdminus(Tminust)minus|σ|
radicTminust
eminusz22 dzradic2πminusK eminus(Tminust)r
winfinminusdminus(Tminust)
eminusz22 dzradic2π
= x(1minusΦ
(minus d+(T minus t)
))minusK eminus(Tminust)r
(1minusΦ
(minus dminus(T minus t)
))= xΦ
(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
where we used the relation (614) ie
1minusΦ(a) = Φ(minusa) a isin R
Exercises
Exercise 61 Bachelier (1900) model Consider a market made of a risklessasset valued At = A0 with zero interest rate t isin R+ and a risky asset whoseprice St is modeled by a standard Brownian motion as St = Bt t isin R+
a) Show that the price g(tBt) of the option with payoff C = B2T satisfies
the heat equationpartϕ
partt(t y) = minus1
2part2ϕ
party2 (t y)
with terminal condition g(T x) = x2b) Find the function g(tx) by solving the PDE of Question (a)
Hint Try a solution of the form g(tx) = x2 + f(t)
See Exercises 611 713 and 714 for extensions to nonzero interest rates
Exercise 62 Consider a risky asset price (St)tisinR modeled in the Cox et al(1985) (CIR) model as
dSt = β(αminus St)dt+ σradicStdBt αβσ gt 0 (631)
and let (ηt ξt)tisinR+ be a portfolio strategy whose value Vt = ηtAt + ξtSttakes the form Vt = g(tSt) t isin R+ Figure 620 presents a random simula-tion of the solution to (631) with α = 0025 β = 1 and σ = 13230
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
234
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Black-Scholes Pricing and Hedging
0
1
2
3
4
5
6
7
8
0 01 02 03 04 05 06 07 08 09 1
St
t
Fig 620 Graph of the CIR short rate t 7rarr rt with α = 25 β = 1 and σ = 13
N=10000 t lt- 0(N-1) dt lt- 10Na=0025 b=2 sigma=0052 X lt- rnorm(Nmean=0sd=sqrt(dt))R lt- rep(0N)R[1]=001
for (j in 2N)R[j]=max(0R[j-1]+(a-bR[j-1])dt+sigmasqrt(R[j-1])X[j])4 plot(t R xlab = t ylab = type = l ylim = c(0002) col = blue)
Based on the self-financing condition written as
dVt = rVtdtminus rξtStdt+ ξtdSt
= rVtdtminus rξtStdt+ β(αminus St)ξtdt+ σξtradicStdBt t isin R+ (632)
derive the PDE satisfied by the function g(tx) using the Itocirc formula
Exercise 63 Black-Scholes PDE with dividends Consider a riskless as-set with price At = A0 ert t isin R+ and an underlying asset price process(St)tisinR+ modeled as
dSt = (microminus δ)Stdt+ σStdBt
where (Bt)tisinR+ is a standard Brownian motion and δ gt 0 is a continuous-time dividend rate By absence of arbitrage the payment of a dividend entailsa drop in the stock price by the same amount occuring generally on the ex-dividend date on which the purchase of the security no longer entitles theinvestor to the dividend amount The list of investors entitled to dividendpayment is consolidated on the date of record and payment is made on thepayable date
library(quantmod)2 getSymbols(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
getDividends(0005HKfrom=2010-01-01to=SysDate()src=yahoo)
a) Assuming that the portfolio with value Vt = ξtSt + ηtAt at time t is self-financing and that dividends are continuously reinvested write down theportfolio variation dVt
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b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
233
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
234
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N Privault
b) Assuming that the portfolio value Vt takes the form Vt = g(tSt) at timet derive the Black-Scholes PDE for the function g(tx) with its terminalcondition
c) Compute the price at time t isin [0T ] of the European call option withstrike price K by solving the corresponding Black-Scholes PDE
d) Compute the Delta of the option
Exercise 64
a) Check that the Black-Scholes formula (610) for European call options
gc(tx) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
satisfies the following boundary conditions
i) at x = 0 gc(t 0) = 0ii) at maturity t = T
gc(T x) = (xminusK)+ =
xminusK x gt K
0 x 6 K
iii) as time to maturity tends to infinity
limTrarrinfin
Bl(Kxσ rT minus t) = x t isin R+
b) Check that the Black-Scholes formula (618) for European put options
gp(tx) = K eminus(Tminust)rΦ(minus dminus(T minus t)
)minus xΦ
(minus d+(T minus t)
)satisfies the following boundary conditions
i) at x = 0 gp(t 0) = K eminus(Tminust)rii) as x tends to infinity gp(tinfin) = 0 for all t isin [0T )iii) at maturity t = T
gp(T x) = (K minus x)+ =
0 x gt K
K minus x x 6 K
iv) as time to maturity tends to infinity
limTrarrinfin
Blp(KStσ rT minus t) = 0 t isin R+
Exercise 65 Power option (Exercise 314 continued)
232
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
233
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
234
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Black-Scholes Pricing and Hedging
a) Solve the Black-Scholes PDE
rg(x t) = partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t) (633)
with terminal condition g(xT ) = x2 x gt 0 t isin [0T ]
Hint Try a solution of the form g(x t) = x2f(t) and find f(t)b) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt 0 6 t 6 T
hedging the contract with payoff S2T at maturity
Exercise 66 On December 18 2007 a call warrant has been issued byFortis Bank on the stock price S of the MTR Corporation with maturityT = 23122008 strike price K = HK$ 3608 and entitlement ratio=10Recall that in the Black-Scholes model the price at time t of the Europeanclaim on the underlying asset priced St with strike price K maturity T interest rate r and volatility σ gt 0 is given by the Black-Scholes formula as
f(tSt) = StΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
wheredminus(T minus t) =
(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
d+(T minus t) = dminus(T minus t) + |σ|radicT minus t = (r+ σ22)(T minus t) + log(StK)
|σ|radicT minus t
Recall that by Proposition 64 we have
partf
partx(tSt) = Φ
(d+(T minus t)
) 0 6 t 6 T
a) Using the values of the Gaussian cumulative distribution function com-pute the Black-Scholes price of the corresponding call option at timet =November 07 2008 with St = HK$ 17200 assuming a volatility σ =90 = 090 and an annual risk-free interest rate r = 4377 = 004377
b) Still using the Gaussian cumulative distribution function compute thequantity of the risky asset required in your portfolio at time t =November07 2008 in order to hedge one such option at maturity T = 23122008
c) Figure 1 represents the Black-Scholes price of the call option as a functionof σ isin [05 15] = [50 150]
233
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N Privault
0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
234
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0
01
02
03
04
05
06
05 06 07 08 09 1 11 12 13 14 15σimp
Optio
n pr
ice
σ
Market price
Fig 621 Option price as a function of the volatility σ gt 0
1 BSCall lt- function(S K r T sigma)d1 lt- (log(SK)+(r+sigma^22)T)(sigmasqrt(T))d2 lt- d1 - sigma sqrt(T)
3 BSCall = Spnorm(d1) - Kexp(-rT)pnorm(d2)BSCallsigma lt- seq(0515 length=100)
5 plot(sigmaBSCall(172360800437746365sigma) type=llty=1 xlab=Sigmaylab=Black-Scholes Call Price ylim = c(006)col=bluelwd=3)grid()
abline(h=023col=redlwd=3)
Knowing that the closing price of the warrant on November 07 2008 wasHK$ 0023 which value can you infer for the implied volatility σ at thisdatelowast
Exercise 67 Forward contracts Recall that the price πt(C) of a claimpayoff C = h(ST ) of maturity T can be written as πt(C) = g(tSt) wherethe function g(tx) satisfies the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + 1
2σ2x2 part
2g
partx2 (tx)
g(T x) = h(x) (1)
with terminal condition g(T x) = h(x) x gt 0
a) Assume that C is a forward contract with payoff
C = ST minusK
at time T Find the function h(x) in (1)b) Find the solution g(tx) of the above PDE and compute the price πt(C)
at time t isin [0T ]Hint search for a solution of the form g(tx) = xminus α(t) where α(t) is afunction of t to be determined
lowast Download the corresponding or the that can be runhere
234
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Black-Scholes Pricing and Hedging
c) Compute the quantityξt =
partg
partx(tSt)
of risky assets in a self-financing portfolio hedging Cd) Repeat the above questions with the terminal condition g(T x) = x
Exercise 68a) Solve the Black-Scholes PDE
rg(tx) = partg
partt(tx) + rx
partg
partx(tx) + σ2
2 x2 part2g
partx2 (tx) (634)
with terminal condition g(T x) = 1 x gt 0
Hint Try a solution of the form g(tx) = f(t) and find f(t)
b) Find the respective quantities ξt and ηt of the risky asset St and risklessasset At = ert in the portfolio with value
Vt = g(tSt) = ξtSt + ηtAt
hedging the contract with payoff $1 at maturity
Exercise 69 Log-contracts see also Exercise 84a) Solve the PDE
0 =partg
partt(x t) + rx
partg
partx(x t) + σ2
2 x2 part2g
partx2 (x t)
with the terminal condition g(xT ) = log x x gt 0
Hint Try a solution of the form g(x t) = f(t) + log x and find f(t)b) Solve the Black-Scholes PDE
rh(x t) = parth
partt(x t) + rx
parth
partx(x t) + σ2
2 x2 part2h
partx2 (x t) (635)
with the terminal condition h(xT ) = log x x gt 0
Hint Try a solution of the form h(x t) = u(t)g(x t) and find u(t)c) Find the respective quantities ξt and ηt of the risky asset St and riskless
asset At = ert in the portfolio with value
Vt = g(St t) = ξtSt + ηtAt
hedging a log-contract with payoff logST at maturity 235
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Exercise 610 Binary options Consider a price process (St)tisinR+ given by
dStSt
= rdt+ σdBt S0 = 1
under the risk-neutral probability measure Plowast The binary (or digital) calloption is a contract with maturity T strike price K and payoff
Cd = 1[Kinfin)(ST ) =
$1 if ST gt K
0 if ST lt K
a) Derive the Black-Schole PDE satisfied by the pricing function Cd(tSt) ofthe binary call option together with its terminal condition
b) Show that the solution Cd(tx) of the Black-Scholes PDE of Question (a)is given by
Cd(tx) = eminus(Tminust)rΦ((rminus σ22)(T minus t) + log(xK)
|σ|radicT minus t
)= eminus(Tminust)rΦ
(dminus(T minus t)
)
where
dminus(T minus t) =(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
0 6 t lt T
Exercise 611
a) Bachelier (1900) model Solve the stochastic differential equation
dSt = αStdt+ σdBt (636)
in terms of ασ isin R and the initial condition S0b) Write down the Bachelier PDE satisfied by the function C(tx) where
C(tSt) is the price at time t isin [0T ] of the contingent claim with payoffφ(ST ) = exp(ST ) and identify the process Delta (ξt)tisin[0T ] that hedgesthis claim
c) Solve the Black-Scholes PDE of Question (b) with the terminal conditionφ(x) = ex x isin R
Hint Search for a solution of the form
C(tx) = exp(minus(T minus t)r+ xh(t) +
σ2
4r (h2(t)minus 1)
) (637)
where h(t) is a function to be determined with h(T ) = 1
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d) Compute the portfolio strategy (ξt ηt)tisin[0T ] that hedges the contingentclaim with payoff exp(ST )
Exercise 612
a) Show that for every fixed value of S the function
d 7minusrarr h(S d) = SΦ(d+ |σ|
radicT)minusK eminusrTΦ(d)
reaches its maximum at dlowast(S) =log(SK) + (rminus σ22)T
|σ|radicT
b) By the differentiation rule
d
dSh(S dlowast(S)) =
parth
partS(S dlowast(S)) + dprimelowast(S)
parth
partd(S dlowast(S))
recover the value of the Black-Scholes Delta
Exercise 613 Compute the Black-Scholes Vega by differentiation of theBlack-Scholes function
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
with respect to the volatility parameter σ knowing that
minus12(dminus(T minus t)
)2= minus1
2
(log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)2
= minus12(d+(T minus t)
)2+ (T minus t)r+ log x
K (638)
Exercise 614 Consider the backward induction relation (313) ie
v(tx) = (1minus plowastN )v (t+ 1x(1 + aN )) + plowastN v (t+ 1x(1 + bN ))
using the renormalizations rN = rTN and
aN = (1 + rN )(1minus |σ|radicTN)minus 1 bN = (1 + rN )(1 + |σ|
radicTN)minus 1
of Section 36 N gt 1 with
plowastN =rN minus aNbN minus aN
and plowastN =bN minus rNbN minus aN
a) Show that the Black-Scholes PDE (62) of Proposition 61 can be recoveredfrom the induction relation (313) when the number N of time steps tendsto infinity
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b) Show that the expression of the Delta ξt =partgcpartx
(tSt) can be similarlyrecovered from the finite difference relation (319) ie
ξ(1)t (Stminus1) =
v (t (1 + bN )Stminus1)minus v (t (1 + aN )Stminus1)
Stminus1(bN minus aN )
as N tends to infinity
Problem 615 (Leung and Sircar (2015)) ProShares Ultra SampP500 andProShares UltraShort SampP500 are leveraged investment funds that seek dailyinvestment results before fees and expenses that correspond to β times (βx)the daily performance of the SampP500reg with respectively β = 2 for ProSharesUltra and β = minus2 for ProShares UltraShort Here leveraging with a factorβ 1 aims at multiplying the potential return of an investment by a factorβ The following 10 questions are interdependent and should be treated insequence
a) Consider a risky asset priced S0 = $4 at time t = 0 and taking twopossible values S1 = $5 and S1 = $2 at time t = 1 Compute the twopossible returns (in ) achieved when investing $4 in one share of the assetS and the expected return under the risk-neutral probability measureassuming that the risk-free interest rate is zero
b) Leveraging Still based on an initial $4 investment we decide to leverageby a factor β = 3 by borrowing another (β minus 1) times $4 = 2times $4 at ratezero to purchase a total of β = 3 shares of the asset S Compute thetwo returns (in ) possibly achieved in this case and the expected returnunder the risk-neutral probability measure assuming that the risk-freeinterest rate is zero
c) Denoting by Ft the ProShares value at time t how much should the fundinvest in the underlying asset priced St and how much $ should it borrowor save on the risk-free market at any time t in order to leverage with afactor β 1
d) Find the portfolio allocation (ξt ηt) for the fund value
Ft = ξtSt + ηtAt t isin R+
according to Question (c) where At = A0 ert is the riskless money marketaccount
e) We choose to model the SampP500 index St as the geometric Brownianmotion
dSt = rStdt+ σStdBt t isin R+
under the risk-neutral probability measure Plowast Find the stochastic dif-ferential equation satisfied by (Ft)tisinR+ under the self-financing conditiondFt = ξtdSt + ηtdAt
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Black-Scholes Pricing and Hedging
f) Is the discounted fund value ( eminusrtFt)tisinR+ a martingale under the risk-neutral probability measure Plowast
g) Find the relation between the fund value Ft and the index St by solvingthe stochastic differential equation obtained for Ft in Question (e) Forsimplicity we normalize F0 = Sβ0
h) Write the price at time t = 0 of the call option with payoff (FT minusK)+ onthe ProShares index using the Black-Scholes formula
i) Show that when β gt 0 the Delta at time t isin [0T ) of the call optionwith payoff (FT minusK)+ on ProShares Ultra is equal to the Delta of thecall option with payoff (ST minusKβ(t))
+ on the SampP500 for a certain strikeprice Kβ(t) to be determined explicitly
j) When β lt 0 find the relation between the Delta at time t isin [0T ) ofthe call option with payoff (FT minusK)+ on ProShares UltraShort and theDelta of the put option with payoff (Kβ(t)minus ST )+ on the SampP500
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Exercise 610 Binary options Consider a price process (St)tisinR+ given by
dStSt
= rdt+ σdBt S0 = 1
under the risk-neutral probability measure Plowast The binary (or digital) calloption is a contract with maturity T strike price K and payoff
Cd = 1[Kinfin)(ST ) =
$1 if ST gt K
0 if ST lt K
a) Derive the Black-Schole PDE satisfied by the pricing function Cd(tSt) ofthe binary call option together with its terminal condition
b) Show that the solution Cd(tx) of the Black-Scholes PDE of Question (a)is given by
Cd(tx) = eminus(Tminust)rΦ((rminus σ22)(T minus t) + log(xK)
|σ|radicT minus t
)= eminus(Tminust)rΦ
(dminus(T minus t)
)
where
dminus(T minus t) =(rminus σ22)(T minus t) + log(StK)
|σ|radicT minus t
0 6 t lt T
Exercise 611
a) Bachelier (1900) model Solve the stochastic differential equation
dSt = αStdt+ σdBt (636)
in terms of ασ isin R and the initial condition S0b) Write down the Bachelier PDE satisfied by the function C(tx) where
C(tSt) is the price at time t isin [0T ] of the contingent claim with payoffφ(ST ) = exp(ST ) and identify the process Delta (ξt)tisin[0T ] that hedgesthis claim
c) Solve the Black-Scholes PDE of Question (b) with the terminal conditionφ(x) = ex x isin R
Hint Search for a solution of the form
C(tx) = exp(minus(T minus t)r+ xh(t) +
σ2
4r (h2(t)minus 1)
) (637)
where h(t) is a function to be determined with h(T ) = 1
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d) Compute the portfolio strategy (ξt ηt)tisin[0T ] that hedges the contingentclaim with payoff exp(ST )
Exercise 612
a) Show that for every fixed value of S the function
d 7minusrarr h(S d) = SΦ(d+ |σ|
radicT)minusK eminusrTΦ(d)
reaches its maximum at dlowast(S) =log(SK) + (rminus σ22)T
|σ|radicT
b) By the differentiation rule
d
dSh(S dlowast(S)) =
parth
partS(S dlowast(S)) + dprimelowast(S)
parth
partd(S dlowast(S))
recover the value of the Black-Scholes Delta
Exercise 613 Compute the Black-Scholes Vega by differentiation of theBlack-Scholes function
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
with respect to the volatility parameter σ knowing that
minus12(dminus(T minus t)
)2= minus1
2
(log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)2
= minus12(d+(T minus t)
)2+ (T minus t)r+ log x
K (638)
Exercise 614 Consider the backward induction relation (313) ie
v(tx) = (1minus plowastN )v (t+ 1x(1 + aN )) + plowastN v (t+ 1x(1 + bN ))
using the renormalizations rN = rTN and
aN = (1 + rN )(1minus |σ|radicTN)minus 1 bN = (1 + rN )(1 + |σ|
radicTN)minus 1
of Section 36 N gt 1 with
plowastN =rN minus aNbN minus aN
and plowastN =bN minus rNbN minus aN
a) Show that the Black-Scholes PDE (62) of Proposition 61 can be recoveredfrom the induction relation (313) when the number N of time steps tendsto infinity
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b) Show that the expression of the Delta ξt =partgcpartx
(tSt) can be similarlyrecovered from the finite difference relation (319) ie
ξ(1)t (Stminus1) =
v (t (1 + bN )Stminus1)minus v (t (1 + aN )Stminus1)
Stminus1(bN minus aN )
as N tends to infinity
Problem 615 (Leung and Sircar (2015)) ProShares Ultra SampP500 andProShares UltraShort SampP500 are leveraged investment funds that seek dailyinvestment results before fees and expenses that correspond to β times (βx)the daily performance of the SampP500reg with respectively β = 2 for ProSharesUltra and β = minus2 for ProShares UltraShort Here leveraging with a factorβ 1 aims at multiplying the potential return of an investment by a factorβ The following 10 questions are interdependent and should be treated insequence
a) Consider a risky asset priced S0 = $4 at time t = 0 and taking twopossible values S1 = $5 and S1 = $2 at time t = 1 Compute the twopossible returns (in ) achieved when investing $4 in one share of the assetS and the expected return under the risk-neutral probability measureassuming that the risk-free interest rate is zero
b) Leveraging Still based on an initial $4 investment we decide to leverageby a factor β = 3 by borrowing another (β minus 1) times $4 = 2times $4 at ratezero to purchase a total of β = 3 shares of the asset S Compute thetwo returns (in ) possibly achieved in this case and the expected returnunder the risk-neutral probability measure assuming that the risk-freeinterest rate is zero
c) Denoting by Ft the ProShares value at time t how much should the fundinvest in the underlying asset priced St and how much $ should it borrowor save on the risk-free market at any time t in order to leverage with afactor β 1
d) Find the portfolio allocation (ξt ηt) for the fund value
Ft = ξtSt + ηtAt t isin R+
according to Question (c) where At = A0 ert is the riskless money marketaccount
e) We choose to model the SampP500 index St as the geometric Brownianmotion
dSt = rStdt+ σStdBt t isin R+
under the risk-neutral probability measure Plowast Find the stochastic dif-ferential equation satisfied by (Ft)tisinR+ under the self-financing conditiondFt = ξtdSt + ηtdAt
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f) Is the discounted fund value ( eminusrtFt)tisinR+ a martingale under the risk-neutral probability measure Plowast
g) Find the relation between the fund value Ft and the index St by solvingthe stochastic differential equation obtained for Ft in Question (e) Forsimplicity we normalize F0 = Sβ0
h) Write the price at time t = 0 of the call option with payoff (FT minusK)+ onthe ProShares index using the Black-Scholes formula
i) Show that when β gt 0 the Delta at time t isin [0T ) of the call optionwith payoff (FT minusK)+ on ProShares Ultra is equal to the Delta of thecall option with payoff (ST minusKβ(t))
+ on the SampP500 for a certain strikeprice Kβ(t) to be determined explicitly
j) When β lt 0 find the relation between the Delta at time t isin [0T ) ofthe call option with payoff (FT minusK)+ on ProShares UltraShort and theDelta of the put option with payoff (Kβ(t)minus ST )+ on the SampP500
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Black-Scholes Pricing and Hedging
d) Compute the portfolio strategy (ξt ηt)tisin[0T ] that hedges the contingentclaim with payoff exp(ST )
Exercise 612
a) Show that for every fixed value of S the function
d 7minusrarr h(S d) = SΦ(d+ |σ|
radicT)minusK eminusrTΦ(d)
reaches its maximum at dlowast(S) =log(SK) + (rminus σ22)T
|σ|radicT
b) By the differentiation rule
d
dSh(S dlowast(S)) =
parth
partS(S dlowast(S)) + dprimelowast(S)
parth
partd(S dlowast(S))
recover the value of the Black-Scholes Delta
Exercise 613 Compute the Black-Scholes Vega by differentiation of theBlack-Scholes function
gc(tx) = Bl(Kxσ rT minus t) = xΦ(d+(T minus t)
)minusK eminus(Tminust)rΦ
(dminus(T minus t)
)
with respect to the volatility parameter σ knowing that
minus12(dminus(T minus t)
)2= minus1
2
(log(xK) + (rminus σ22)(T minus t)
|σ|radicT minus t
)2
= minus12(d+(T minus t)
)2+ (T minus t)r+ log x
K (638)
Exercise 614 Consider the backward induction relation (313) ie
v(tx) = (1minus plowastN )v (t+ 1x(1 + aN )) + plowastN v (t+ 1x(1 + bN ))
using the renormalizations rN = rTN and
aN = (1 + rN )(1minus |σ|radicTN)minus 1 bN = (1 + rN )(1 + |σ|
radicTN)minus 1
of Section 36 N gt 1 with
plowastN =rN minus aNbN minus aN
and plowastN =bN minus rNbN minus aN
a) Show that the Black-Scholes PDE (62) of Proposition 61 can be recoveredfrom the induction relation (313) when the number N of time steps tendsto infinity
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N Privault
b) Show that the expression of the Delta ξt =partgcpartx
(tSt) can be similarlyrecovered from the finite difference relation (319) ie
ξ(1)t (Stminus1) =
v (t (1 + bN )Stminus1)minus v (t (1 + aN )Stminus1)
Stminus1(bN minus aN )
as N tends to infinity
Problem 615 (Leung and Sircar (2015)) ProShares Ultra SampP500 andProShares UltraShort SampP500 are leveraged investment funds that seek dailyinvestment results before fees and expenses that correspond to β times (βx)the daily performance of the SampP500reg with respectively β = 2 for ProSharesUltra and β = minus2 for ProShares UltraShort Here leveraging with a factorβ 1 aims at multiplying the potential return of an investment by a factorβ The following 10 questions are interdependent and should be treated insequence
a) Consider a risky asset priced S0 = $4 at time t = 0 and taking twopossible values S1 = $5 and S1 = $2 at time t = 1 Compute the twopossible returns (in ) achieved when investing $4 in one share of the assetS and the expected return under the risk-neutral probability measureassuming that the risk-free interest rate is zero
b) Leveraging Still based on an initial $4 investment we decide to leverageby a factor β = 3 by borrowing another (β minus 1) times $4 = 2times $4 at ratezero to purchase a total of β = 3 shares of the asset S Compute thetwo returns (in ) possibly achieved in this case and the expected returnunder the risk-neutral probability measure assuming that the risk-freeinterest rate is zero
c) Denoting by Ft the ProShares value at time t how much should the fundinvest in the underlying asset priced St and how much $ should it borrowor save on the risk-free market at any time t in order to leverage with afactor β 1
d) Find the portfolio allocation (ξt ηt) for the fund value
Ft = ξtSt + ηtAt t isin R+
according to Question (c) where At = A0 ert is the riskless money marketaccount
e) We choose to model the SampP500 index St as the geometric Brownianmotion
dSt = rStdt+ σStdBt t isin R+
under the risk-neutral probability measure Plowast Find the stochastic dif-ferential equation satisfied by (Ft)tisinR+ under the self-financing conditiondFt = ξtdSt + ηtdAt
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Black-Scholes Pricing and Hedging
f) Is the discounted fund value ( eminusrtFt)tisinR+ a martingale under the risk-neutral probability measure Plowast
g) Find the relation between the fund value Ft and the index St by solvingthe stochastic differential equation obtained for Ft in Question (e) Forsimplicity we normalize F0 = Sβ0
h) Write the price at time t = 0 of the call option with payoff (FT minusK)+ onthe ProShares index using the Black-Scholes formula
i) Show that when β gt 0 the Delta at time t isin [0T ) of the call optionwith payoff (FT minusK)+ on ProShares Ultra is equal to the Delta of thecall option with payoff (ST minusKβ(t))
+ on the SampP500 for a certain strikeprice Kβ(t) to be determined explicitly
j) When β lt 0 find the relation between the Delta at time t isin [0T ) ofthe call option with payoff (FT minusK)+ on ProShares UltraShort and theDelta of the put option with payoff (Kβ(t)minus ST )+ on the SampP500
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N Privault
b) Show that the expression of the Delta ξt =partgcpartx
(tSt) can be similarlyrecovered from the finite difference relation (319) ie
ξ(1)t (Stminus1) =
v (t (1 + bN )Stminus1)minus v (t (1 + aN )Stminus1)
Stminus1(bN minus aN )
as N tends to infinity
Problem 615 (Leung and Sircar (2015)) ProShares Ultra SampP500 andProShares UltraShort SampP500 are leveraged investment funds that seek dailyinvestment results before fees and expenses that correspond to β times (βx)the daily performance of the SampP500reg with respectively β = 2 for ProSharesUltra and β = minus2 for ProShares UltraShort Here leveraging with a factorβ 1 aims at multiplying the potential return of an investment by a factorβ The following 10 questions are interdependent and should be treated insequence
a) Consider a risky asset priced S0 = $4 at time t = 0 and taking twopossible values S1 = $5 and S1 = $2 at time t = 1 Compute the twopossible returns (in ) achieved when investing $4 in one share of the assetS and the expected return under the risk-neutral probability measureassuming that the risk-free interest rate is zero
b) Leveraging Still based on an initial $4 investment we decide to leverageby a factor β = 3 by borrowing another (β minus 1) times $4 = 2times $4 at ratezero to purchase a total of β = 3 shares of the asset S Compute thetwo returns (in ) possibly achieved in this case and the expected returnunder the risk-neutral probability measure assuming that the risk-freeinterest rate is zero
c) Denoting by Ft the ProShares value at time t how much should the fundinvest in the underlying asset priced St and how much $ should it borrowor save on the risk-free market at any time t in order to leverage with afactor β 1
d) Find the portfolio allocation (ξt ηt) for the fund value
Ft = ξtSt + ηtAt t isin R+
according to Question (c) where At = A0 ert is the riskless money marketaccount
e) We choose to model the SampP500 index St as the geometric Brownianmotion
dSt = rStdt+ σStdBt t isin R+
under the risk-neutral probability measure Plowast Find the stochastic dif-ferential equation satisfied by (Ft)tisinR+ under the self-financing conditiondFt = ξtdSt + ηtdAt
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Black-Scholes Pricing and Hedging
f) Is the discounted fund value ( eminusrtFt)tisinR+ a martingale under the risk-neutral probability measure Plowast
g) Find the relation between the fund value Ft and the index St by solvingthe stochastic differential equation obtained for Ft in Question (e) Forsimplicity we normalize F0 = Sβ0
h) Write the price at time t = 0 of the call option with payoff (FT minusK)+ onthe ProShares index using the Black-Scholes formula
i) Show that when β gt 0 the Delta at time t isin [0T ) of the call optionwith payoff (FT minusK)+ on ProShares Ultra is equal to the Delta of thecall option with payoff (ST minusKβ(t))
+ on the SampP500 for a certain strikeprice Kβ(t) to be determined explicitly
j) When β lt 0 find the relation between the Delta at time t isin [0T ) ofthe call option with payoff (FT minusK)+ on ProShares UltraShort and theDelta of the put option with payoff (Kβ(t)minus ST )+ on the SampP500
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Black-Scholes Pricing and Hedging
f) Is the discounted fund value ( eminusrtFt)tisinR+ a martingale under the risk-neutral probability measure Plowast
g) Find the relation between the fund value Ft and the index St by solvingthe stochastic differential equation obtained for Ft in Question (e) Forsimplicity we normalize F0 = Sβ0
h) Write the price at time t = 0 of the call option with payoff (FT minusK)+ onthe ProShares index using the Black-Scholes formula
i) Show that when β gt 0 the Delta at time t isin [0T ) of the call optionwith payoff (FT minusK)+ on ProShares Ultra is equal to the Delta of thecall option with payoff (ST minusKβ(t))
+ on the SampP500 for a certain strikeprice Kβ(t) to be determined explicitly
j) When β lt 0 find the relation between the Delta at time t isin [0T ) ofthe call option with payoff (FT minusK)+ on ProShares UltraShort and theDelta of the put option with payoff (Kβ(t)minus ST )+ on the SampP500
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