chapter 6
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Chapter 6. Portfolio Selection. Chapter Summary. Objective:To present the basics of modern portfolio selection process Capital allocation decision Two-security portfolios and extensions The Markowitz portfolio selection model. Allocating Capital Between Risky & Risk Free Assets. - PowerPoint PPT PresentationTRANSCRIPT
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 6-1Slide 6-1
Chapter 6
Portfolio Portfolio SelectionSelection
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 6-2Slide 6-2
Chapter Summary
Objective:To present the basics of modern portfolio selection process
Capital allocation decision Two-security portfolios and extensions The Markowitz portfolio selection model
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 6-3Slide 6-3
Possible to split investment funds between safe and risky assets
Risk free asset: proxy; T-bills Risky asset: stock (or a portfolio)
Allocating Capital Between Risky & Risk Free Assets
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Examine risk/return tradeoff Demonstrate how different degrees of
risk aversion will affect allocations between risky and risk free assets
Allocating Capital Between Risky & Risk Free Assets
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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The Risk-Free Asset
Perfectly price-indexed bond – the only risk free asset in real terms;
T-bills are commonly viewed as “the” risk-free asset;
Money market funds - the most accessible risk-free asset for most investors.
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Portfolios of One Risky Asset
and One Risk-Free Asset
Assume a risky portfolio P defined by :
E(rp) = 15% and p = 22%
The available risk-free asset has:
rf = 7% and rf = 0%
And the proportions invested:
y% in P and (1-y)% in rf
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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E(rc) = yE(rp) + (1 - y)rf
rc = complete or combined portfolio
If, for example, y = .75
E(rc) = .75(.15) + .25(.07)
= .13 or 13%
Expected Returns for Combinations
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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rf
pc=
Since
y
= 0, then
* Rule 4 in Chapter 5
*
Variance on the Possible Combined Portfolios
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Possible Combinations
E(r)
E(rp) = 15%
rf = 7%
22%0
P
F
c
E(rc) = 13%C
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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c= .75(.22) = .165 or 16.5%
If y = .75, then
c= 1(.22) = .22 or 22%
If y = 1
c=0(.22) = .00 or 0%
If y = 0
Combinations Without Leverage
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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CAL (Capital Allocation Line)
E(r)
E(rp) = 15%
rf = 7%
p = 22%0
P
F
) S = 8/22E(rp) - rf = 8%
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 6-12Slide 6-12
Borrow at the Risk-Free Rate and invest in stock
Using 50% Leverage
rc = (-.5) (.07) + (1.5) (.15) = .19
c = (1.5) (.22) = .33
Using Leverage with Capital Allocation Line
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Indifference Curves and Risk Aversion
Certainty equivalent of portfolio P’s expected return for two different investors
P
E(r)
rf=7%
A = 4
A = 2
p = 22%
E(rp)=15%
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Greater levels of risk aversion lead to larger proportions of the risk free rate
Lower levels of risk aversion lead to larger proportions of the portfolio of risky assets
Willingness to accept high levels of risk for high levels of returns would result in leveraged combinations
Risk Aversion and Allocation
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CAL with Risk Preferences
P
E(r)
7%Lender
Borrower
p = 22%
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CAL with Higher Borrowing Rate
E(r)
9%
7%) S = .36
) S = .27P
p = 22%
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Risk Reduction with Diversification
Number of Securities
St. Deviation
Market Risk
Unique Risk
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Summary Reminder
Objective:To present the basics of modern portfolio selection process
Capital allocation decision Two-security portfolios and extensions The Markowitz portfolio selection model
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 6-19Slide 6-19
w1 = proportion of funds in Security 1w2 = proportion of funds in Security 2r1 = expected return on Security 1r2 = expected return on Security 2
1wn
1ii
Two-Security Portfolio: Return
2211P rwrwr
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12 = variance of Security 1
22 = variance of Security 2
Cov(r1,r2) = covariance of returns for Security 1 and Security 2
Two-Security Portfolio: Risk
)r,r(Covww2ww 21212
22
22
12
12
p
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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1,2 = Correlation coefficient of returns
1 = Standard deviation of returns for Security 12 = Standard deviation of returns for
Security 2
Covariance
212,121 )r,r(Cov
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Range of values for 1,2
+ 1.0 > > -1.0
If = 1.0, the securities would be perfectly positively correlated
If = - 1.0, the securities would be perfectly negatively correlated
Correlation Coefficients: Possible Values
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Three-Security Portfolio
332211p rwrwrwr
)r,r(Covww2
)r,r(Covww2
)r,r(Covww2
www
3232
3131
2121
23
23
22
22
21
21
2p
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Generally, for an n-Security Portfolio:
n
1i
iip rwr
n
kj1k,j
kjkj
n
1i
2i
2i
2p )r,r(Covww2w
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Returning to the Two-Security Portfolio
2211p rwrw)r(E
)r,r(Covww2ww 21212
22
22
12
12
p
and
, or
)r,r(Covww2ww 21212
22
22
12
1p
Question: What happens if we use various securities’ combinations, i.e. if we vary ?
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Two-Security Portfolios with Different Correlations
= 1
13%
%8E(r)
St. Dev12% 20%
= .3
= -1
= -1
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Relationship depends on correlation coefficient
-1.0 < < +1.0 The smaller the correlation, the greater
the risk reduction potential If= +1.0, no risk reduction is possible
Portfolio of Two Securities: Correlation Effects
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Minimum-Variance Combination
Suppose our investment universe comprises the following two securities:
A B A,B
E(r) 10% 14%0.2
15% 20%
What are the weights of each security in the minimum-variance portfolio?
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Minimum-Variance Combination: = .2
)r,r(Cov2
)r,r(Covw
BA2
B2
A
BA2
BA
Solving the minimization problem we get:
Numerically:
6733.0)2.0)(20)(15(2)15()20(
)2.0)(20)(15()20(w 22
2
A
3267.0w1w AB
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Minimum -Variance: Return and Risk with = .2
Using the weights wA and wB we determine minimum-variance portfolio’s characteristics:
%31.11%)14)(3267.0(%)10)(6733.0(rP
09.171)2.0)(15)(20)(3267.0)(6733.0(2
)20()3267.0()15()6733.0( 22222P
%08.1309.171P
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Minimum -Variance Combination: = -.3
Using the same mathematics we obtain:wA = 0.6087
wB = 0.3913 While the corresponding minimum-
variance portfolio’s characteristics are:rP = 11.57% and
sP = 10.09%
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Summary Reminder
Objective:To present the basics of modern portfolio selection process
Capital allocation decision Two-security portfolios and extensions The Markowitz portfolio selection model
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
Copyright © McGraw-Hill Ryerson Limited, 2003 Slide 6-33Slide 6-33
The optimal combinations result in lowest level of risk for a given return
The optimal trade-off is described as the efficient frontier
These portfolios are dominant
Extending Concepts to All Securities
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The Minimum-Variance Frontier of Risky Assets
E(r)
Efficientfrontier
Globalminimum
varianceportfolio Minimum
variancefrontier
Individualassets
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The set of opportunities again described by the CAL
The choice of the optimal portfolio depends on the client’s risk aversion
A single combination of risky and riskless assets will dominate
Extending to Include A Riskless Asset
Bodie Kane Marcus Perrakis Ryan INVESTMENTS, Fourth Canadian Edition
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Alternative CALs
M
E(r)
CAL (Globalminimum variance)
CAL (A)CAL (P)
P
A
F
P P&F M
A
G
P
M
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Portfolio Selection & Risk Aversion
E(r)
Efficientfrontier ofrisky assets
Morerisk-averseinvestor
U’’’ U’’ U’
Q
PS
Lessrisk-averseinvestor
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Efficient Frontier with Lending & Borrowing
F
P
E(r)
rf
A
Q
BCAL
s