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