Financial Economics Bocconi Lecture5
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Transcript of Financial Economics Bocconi Lecture5
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INVESTMENTS| BODIE, KANE, MARCUSCopyri ght 2011 by The McGraw-H il l Companies, Inc. All ri ghts reserved.McGraw-Hill/Irwin
Lecture 5: Optimal Risky
PortfoliosChapter 7, BKM
Part 1
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The Investment Decision
1.Capital allocation between the risky portfolio
and risk-free asset
a. Determines the investors exposure to risk.
b. The optimal capital allocation is determined by
risk aversion & expectations for the riskreturn
trade-off of the optimal risky portfolio.
2.Asset allocation across broad asset classes
3.Security selection of individual assets within
each asset class
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Lecture Plan
1. Illustrate the potential gains from simple
diversification into many assets
2.Efficient diversification
Two risky assets
Two risky assets and a risk-free
The entire universe of available risky securities.
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Diversification and Portfolio Risk
Market risk
Systematic or nondiversifiable
E.g. conditions in the general economy, such
as the business cycle, inflation, interest rates,and exchange rates
Firm-specific risk
Diversifiable or nonsystematic
E.g. firms success in research and
development, personnel changes
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Figure 7.1 Portfolio Risk as a Function of theNumber of Stocks in the Portfolio
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Figure 7.2 Portfolio Diversification
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Efficient Diversification:The Two-Assets Case
Now consider efficient diversification,
whereby we construct risky portfolios
to provide the lowest possible risk forany given level of expected return.
Suppose for now that we have only
two assets in which to invest: a bondmutual fund (denoted by D) and a
stock mutual fund (denoted by E).
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Two-Security Portfolio: Return
Portfolio Return
Bond Weight
Bond Return
Equity Weight
Equity Return
p D ED EP
D
D
E
E
r
r
w
r
w
r
w wr r
( ) ( ) ( )p D D E E
E r w E r w E r
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= Variance of Security D= Variance of Security E
= Covariance of returns for
Security D and Security E
Two-Security Portfolio: Risk
2 2 2 2 2p
2 2 2 2 2
p
2 ,
2 ,
D D E E D E D E
D D E E D E D E D E
w w w w Cov r r
w w w w Corr r r
2
E
2
D
( , )D E
Cov r r
= Correlation of returns for
Security D and Security E
( , )D E
Corr r r
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D,E = Correlation coefficient ofreturns
Cov(rD,rE) = DEDE
D = Standard deviation ofreturns for Security D
E = Standard deviation ofreturns for Security E
Covariance
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1. The formula for the portfolio variance
reveals that variance is reduced if the
covariance term is negative.
2. Even if the covariance term is positive, theportfolio standard deviation is less than the
weighted average of the individual security
standard deviations, unless the two
securities are perfectly positively correlated.
Portfolio Variance
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Correlation Coefficients
When DE = 1, there is no diversification:
the standard deviation of the portfolio with perfect positive
correlation is just the weighted average of the component
standard deviations.
In all other cases, the correlation coefficient is less than 1,making the portfolio standard deviation less than the
weighted average of the component standard deviations.
DDEEPww
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Correlation Coefficients
When DE = -1, a perfect hedge is possible:
The portfolio standard deviation is zero.
D
ED
D
Eww
1
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Portfolios offer better risk-returntradeoffs
Because the portfolios expected return is the weighted
average of its component expected returns, whereas its
standard deviation is less than the weighted average of
the component standard deviations, portfolios of less than
perfectly correlated assets always offer better riskreturnopportunities than the individual component securities on
their own.
The lower the correlation between the assets, the greater
the gain in efficiency.
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Bond-stock portfolio: Data
Expected return:
Stock 13%
Bond 8%
Standard deviation:
Stock 20%
Bond 12%
Correlation coefficient: 0.3
What are the expected return and variance of the
portfolio as functions of the weight on stocks?
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Portfolio Expected Return as a Function ofInvestment Proportions
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Portfolio Standard Deviation as a Functionof Investment Proportions
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The Minimum Variance Portfolio
The minimum varianceportfolio is the portfoliocomposed of the riskyassets that has thesmallest standarddeviation, the portfoliowith least risk.
When correlation isless than +1, theportfolio standarddeviation may besmaller than that of
either of the individualcomponent assets.
When correlation isequal to -1, the
standard deviation ofthe minimum varianceportfolio is zero.
2
2 2
( , )( )
2 ( , )( ) 1 ( )
D D E
MinVar
D E D E
MinVar MinVar
Cov r r w E
Cov r r
w D w E
7 19
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Figure 7.5 Portfolio Expected Return as aFunction of Standard Deviation
7 20
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The amount of possible risk reductionthrough diversification depends on the
correlation.
The risk reduction potential increases as
the correlation approaches -1.
If = +1.0, no risk reduction is possible.
If = 0, P
may be less than the standard
deviation of either component asset.
If = -1.0, a riskless hedge is possible.
Correlation Effects