AFM 204 - Class 7 Slides - Cost of Equity (2).pptx
Transcript of AFM 204 - Class 7 Slides - Cost of Equity (2).pptx
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Class 7 Slides
Cost of Equity
WACC
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Everything has a price…
• In finance we have a variety of terms forthis: – ime !alue of "oney
– #pportunity Cost
– Cost of Capital
• We are going to focus on the Weighted
Average Cost of Capital $WACC% – Cost of Equity $&e%
– Cost of 'e(t $&d%
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What is WACC)
• *eview… – What do we mean (y cost of capital) – WACC)
• +ses of WACC – Capital pro,ects valuation – Asset appraisals –
-erformance evaluation• 'o different uses require different
calculations.inputs)
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ime !alue of "oney
• /urther investigate WACC – arget leverage ratio
– #ptimal leverage ratio
• Impact of leverage on (eta
• Segment specific WACCs
•
Additional critiques
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WACC Inputs
When computing WACC0 consider 1ey inputs:
– Capital structure0 (oth current and target $2'3
and 2E3% – Cost of de(t $2&d3% – a4 rate $23% – Cost of equity $2&e3%
• *is15free rate $2*f
3%• 6eta $23%• Equity "ar1et *is1 -remium $2E"*-3%
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WACC impact on !aluation
'e(t as 8 of CapitalStructure
!alue
!alue ifno de(t
*emem(er the goal: value ma4imi9ation
!alue of
levered firm
"a4 !alue
#ptimaleverage*atio
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#ptimal WACC
'e(t as 8 of CapitalStructure
*equired*eturn
WACC
*emem(er the goal: value ma4imi9ation
&e
&d
#ptimal 'e(tevel
*+
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he End ;oal
• We are loo1ing for the Weighted AverageCost of Capital $WACC%
Where:
' < = amount of de(t outstanding $mar1et capitali9ation%
E < = amount of equity outstanding $mar1et capitali9ation%
WACC =D
D+E *K d *(1−T )+
E
D+E *K e
K e = Rf + β * (EMRP)K d = Rf + spread
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Cost of Equity
• his is the same as: – he *equired *ate of *eturn for a
shareholder • In other words0 what is the rate of return that I
must e4pect in order for me to want to own hisstoc1)
• We will use the Capital Asset -ricing"odel $CA-"% to estimate the Cost ofEquity $&e%
– Commonly used0 and easy to calculate
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Calculating the Cost of Equity
• &e < *f > ?$E"*-%
• #f the three inputs only E"*- is (eyonddirect measurement or o(servation $sortof…%
• he formula is (eing used to discountfuture cash flows0 so must (e forward
loo1ing – It is not important where the puc1 is now0 (ut
where the puc1 is going to (e tomorrow
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*is15/ree *ate
• ypically drawn from the government (ondyield curve
• Common to use a long5term rate that isliquid and widely followed – @5year (ond yields
– B5year (ond yields
• *emem(er that we are forecasting very farinto the future 'o current rates represent agood estimate of the future)
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*is15/ree *ate Estimates
• he /ederal *eserve has e4cellent dataon long5term interest rates
• etDs loo1 at 5year0 @5year0 and B5year
(ond yields since WWII – http:..researchstlouisfedorg.fredF. – As we did with the other data we loo1ed at0 it
is important to first visually inspect the
interest rate information to get a feel for thestory
http://research.stlouisfed.org/fred2/http://research.stlouisfed.org/fred2/http://research.stlouisfed.org/fred2/http://research.stlouisfed.org/fred2/
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All rates…
G5day 56ills 5year 56onds
@5year 56onds B5year 56onds
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G5'ay 56ills
*ates were near 9ero (efore…during the ;reat 'epression…
and didnDt go (ac1 to 2normal3until after what)
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5year 56onds
6ig0 unstoppa(le trend in interestrates hin1 a(out the 2(ig3 events
since the pea10 such as the end of theCold War0 Asian Currency Crisis0 ech
6oom.6ust0 etc
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@5year 56onds
2he3 (enchmar1 forinterest rates0 used as the
*f in many situations
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B5year 56onds
Ho +S B5year 56onds(eing issued
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What rate would you use)
• G5day 56ill rates have gone from near8 in the @GBs to @8 in the @GJs tonear 8 in F@B – Similar patterns for the other 56onds0 (ut with
a higher rate of interest
• he interest rate differential across
maturities is less significant than thechanges in the interest rate levels overtime
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Some averages…
• etDs loo1 at the average yields over eachtime series $1eeping in mind each timeseries covers a different set of years% – Are there any trends)
– What is the minimum level of interest rates)he ma4imum level)
Bond Average Yield Current YieldG5'ay 56ills BB B
5year 56onds @J @B
@5year 56onds @ FKF
B5year 56onds 7B BBB
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6eta
• 6eta measures the relationship (etweenthe stoc1 and the overall mar1et
• his is usually done (y regressing theperiodic returns of the stoc1 against theperiodic returns of the mar1et – A (road inde4 is chosen to represent the
mar1et0 li1e the SL- for +S stoc1s or theSL-.SM Composite Inde4 for Canadianstoc1s
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M#"Ds 6eta
• 6eta estimation runs into the same pro(lems as anyother forecast – Now much data should we use)
–
What time period) – Is our historical (asis a good representation of the future)
• he same rules apply when (uilding your models: – If no material difference in (etas across different time
periods then your decision is easy• If there are differences you must e4ercise your ,udgment
– Consider the conte4t of su(5periods0 such as (ear vs (ullmar1ets0 inflation rates0 ;'- growth0 etc
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M#"Ds 6eta #ver ime
• he ne4t set of slides loo1s at M#"Ds dailyreturns $y5a4is% graphed against the SL-Ds daily returns $45a4is% – 2@5Oear3 e4tends (ac1wards F days from
Aug FG0 F@K
– 2F5Oear3 e4tends (ac1wards days from
Aug FG0 F@K – Etc
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!isual Inspection
• Pust li1e our loo1 at revenue and ;'- data0 whenloo1ing at stoc1 mar1et data for your company0graph your companyDs daily stoc1 returns against
the SL- Ds daily returns – Any general trend in the data)
– he longer the time period the more data points0 andthe more data points•
Covers more e4treme economic environments• "ore data < more information in your result $the mass of
data points 1eeps getting (igger…%
– Hotice the regression line in each graph
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@5Oear
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F5Oear
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B5Oear
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5Oear
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@5Oear
5@8 5@8 58 8 8 @8 @85F8
5@8
5@8
58
8
8
@8
@8
F8
S&P 500 Daily Return
XOM Daily Return
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@5Oear
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F5Oear
5@8 5@8 58 8 8 @8 @85F8
5@8
5@8
58
8
8
@8
@8
F8
S&P 500 Daily Return
XOM Daily Return
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M#" 6eta #(servations)
• !ery little change in the slope or positionof the regression line over time
• 'oes this mean it is sta(le)
Time Period Beta
@5year JG7
F5year J7GJ
B5year JJG7
5year JGBB
@5year G@G
@5year JBBB
F5year JF
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A 'ifferent -erspective
• What does M#"Ds 6eta loo1 li1e indifferent @5year periods – 6eta using only FB data
– 6eta using only F data
– 6eta using only F7 data
– Etc
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FB
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F
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F7
5J8 58 5K8 5F8 8 F8 K8 8 J85J8
58
5K8
5F8
8
F8
K8
8
J8
S&P 500 Daily Return
XOM Daily Return
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FG
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F@@
5J8
58
5K8
5F8
8
F8
K8
8
J8
XOM Daily Return
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F@B
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M#"Ds Annual 6etas
• Su(stantial variance in M#"Ds (eta fromyear to year – What was the economic situation in F vs
F7 vs FG) Commodity mar1ets) Year Beta
FB JF
F @KFF
F7 @@JBB
FG 7
F@@ GG
F@B J@G
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Caveats a(out 6eta
• he relationship descri(ed (y 6eta can (egreatly impacted (y the actual returnpatterns of the stoc1 and underlying inde4 – he following charts use the monthly returns
of the SL- for the past F years
– #ne of the return series has (een altered (y
reversing the sign on the largest gain and loss• Pust F outliers out of FB7 o(servations
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-erfect Correlation
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Pust wo Alterations…
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#utlier Impact
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#utlier Impact
• *emem(er0 the other FB o(servationsare a perfect fit…
• &eep this in mind when evaluating yourconfidence level vs your predictiveaccuracy
Criteria Benchmark AlteredBenchmark
Beta 1.0000 0.8281
R2 1.0000 0.6878
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Equity "ar1et *is1 -remium
– he E"*- is the amount of return that aninvestor e4pects from the equity mar1etsa(ove the return they e4pect to receive from
the ris1 free rate – he E"*- is an e4pectation0 so is forward
loo1ing and difficult $or impossi(le)% toaccurately determine• #ften estimated using actual historical return
differences0 (ut is this realistic)
• ypically (etween B8 and 78
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Equity "ar1et *is1 -remium
• 'eep topic0 much continuing research• hin1 a(out historical ;'-0 stoc1 and (ond returns
– E"*- < long5term required return premium – What is Hominal ;'- growth rate since WWII)
•Q 8
– What is the average (ond yield since WWII)• Q KFB8 for G5day 56ills• Q @8 for @5Oear 56onds $since @GF%
– What is the average annual return for the SL- since
WWII)• Q 7@8 e4cluding dividends $QB8 since WWII% – Stoc1s return Q@8 giving us an E"*- (etween B8
and 78 depending on the (ond…
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E"*- Estimates
• 'amodaran musings F@B
• E4ample from P- "organ $see page B%
• -WC study of Horwegian *is1 -remiaF@F and F@B
• Hote: P- "organ and -WC hyperlin1sdirect you to -'/s
http://aswathdamodaran.blogspot.ca/2013/05/equity-risk-premiums-erp-and-stocks.htmlhttps://www.jpmorganmf.com/inec/en/KnowledgeCentre/Presentation%20-%20JPMorgan%20US%20Value%20Equity%20Offshore%20Fund.pdfhttp://www.pwc.no/no/publikasjoner/deals/risikopremie-eng.pdfhttp://www.pwc.no/no/publikasjoner/deals/risikopremie-eng.pdfhttps://www.jpmorganmf.com/inec/en/KnowledgeCentre/Presentation%20-%20JPMorgan%20US%20Value%20Equity%20Offshore%20Fund.pdfhttp://aswathdamodaran.blogspot.ca/2013/05/equity-risk-premiums-erp-and-stocks.html
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-utting it all together
• &eep you inputs and assumptions consistent with eachother – 'onDt use a G5day 56ill rate with a (eta from @ years ago and
a 5year E"*-
• wo (asic positions: – Nistorical5Nistorical5Nistorical
• @ year average of (ond yield R @ years of (eta data R @ year E"*-
– Current5Current5Current• Current (ond yield R @ year (eta R @ year E"*-
• /or our purposes $and for most situations% 1eep E"*- at8 – *easona(le assumption
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And *E"E"6E*
• AWAOS (e prepared to answer questionson N#W you calculated the cost of equity – 2easy3 question for an audience mem(er
– "ore li1ely if your &e varies from the norm
Risk-FreeRate
Beta EMRPCost of Equity
(Ke)Column
7.36% .8333 5.00% 11.53%Historical 30-yr & 20-yearbeta
3.33% .8597 5.00% 7.63%Current 30-yr& 1-yearbeta