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Principles of
Corporate
Finance
Sixth Edition
Richard A. Brealey
Stewart C. Myers
Lu Yurong
McGraw Hill/Irwin
Chapter 7
Introduction to Risk, Return,
and the Opportunity Cost of
Capital
7- 2
Topics Covered
 75 Years of Capital Market History
 Measuring Risk
 Portfolio Risk
 Beta and Unique Risk
 Diversification
McGraw Hill/Irwin
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
7- 3
The Value of an Investment of $1 in 1926
1000
6402
S&P
Small Cap
Corp Bonds
Long Bond
T Bill
2587
64.1
Index
48.9
16.6
10
1
0.1
1925
1940
Source: Ibbotson Associates
McGraw Hill/Irwin
1955
1970
1985
2000
Year End
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
7- 4
The Value of an Investment of $1 in 1926
Index
1000
S&P
Small Cap
Corp Bonds
Long Bond
T Bill
Real returns
660
267
6.6
10
5.0
1
0.1
1925
1.7
1940
Source: Ibbotson Associates
McGraw Hill/Irwin
1955
1970
1985
2000
Year End
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
7- 5
Rates of Return 1926-2000
40
20
0
95
90
85
80
75
70
65
60
55
50
45
40
35
26
-60
Common Stocks
Long T-Bonds
T-Bills
20
-40
00
-20
30
Percentage Return
60
Year
Source: Ibbotson Associates
McGraw Hill/Irwin
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
7- 6
Average Market Risk Premia (1999-2000)
Risk premium, %
It
Jap
Fra
Ger
9.9 10 11
9.9
8.5
Aus
8
Swe
USA
Neth
Ire
UK
Spa
Swi
7.1 7.5
6 6.1 6.1 6.5 6.7
Can
5.1
Bel
4.3
Den
11
10
9
8
7
6
5
4
3
2
1
0
Country
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7- 7
Measuring Risk
Variance - Average value of squared deviations from
mean. A measure of volatility.
Standard Deviation - Average value of squared
deviations from mean. A measure of volatility.
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7- 8
Measuring Risk
Coin Toss Game-calculating variance and standard deviation
(1)
(2)
(3)
Percent Rate of Return Deviation from Mean Squared Deviation
+ 40
+ 30
900
+ 10
0
0
+ 10
0
0
- 20
- 30
900
Variance = average of squared deviations = 1800 / 4 = 450
Standard deviation = square of root variance =
McGraw Hill/Irwin
450 = 21.2%
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
7- 9
Measuring Risk
Histogram of Annual Stock Market Returns
# of Years
2
Return %
50 to 60
40 to 50
30 to 40
20 to 30
10 to 20
0 to 10
-30 to -20
McGraw Hill/Irwin
3
-10 to 0
1
13 12 13
11
4
-20 to -10
1
2
-40 to -30
13
-50 to -40
13
12
11
10
9
8
7
6
5
4
3
2
1
0
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
7- 10
Measuring Risk
Diversification - Strategy designed to reduce risk by
spreading the portfolio across many investments.
Unique Risk - Risk factors affecting only that firm.
Also called “diversifiable risk.”
Market Risk - Economy-wide sources of risk that
affect the overall stock market. Also called
“systematic risk.”
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7- 11
Measuring Risk
(
(
)(
)(
Portfolio rate
fraction of portfolio
=
x
of return
in first asset
rate of return
on first asset
)
)
fraction of portfolio
rate of return
+
x
in second asset
on second asset
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7- 12
Portfolio standard deviation
Measuring Risk
0
5
10
15
Number of Securities
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7- 13
Portfolio standard deviation
Measuring Risk
Unique
risk
Market risk
0
5
10
15
Number of Securities
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7- 14
Portfolio Risk
The variance of a two stock portfolio is the sum of these
four boxes
Stock1
Stock1
Stock 2
McGraw Hill/Irwin
x 12σ 12
x 1x 2σ 12 
x 1x 2ρ 12σ 1σ 2
Stock 2
x 1x 2σ 12 
x 1x 2ρ 12σ 1σ 2
x 22σ 22
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
7- 15
Portfolio Risk
Example
Suppose you invest 65% of your portfolio in CocaCola and 35% in Reebok. The expected dollar
return on your CC is 10% x 65% = 6.5% and on
Reebok it is 20% x 35% = 7.0%. The expected
return on your portfolio is 6.5 + 7.0 = 13.50%.
Assume a correlation coefficient of 1.
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7- 16
Portfolio Risk
Example
Suppose you invest 65% of your portfolio in Coca-Cola and 35% in
Reebok. The expected dollar return on your CC is 10% x 65% = 6.5%
and on Reebok it is 20% x 35% = 7.0%. The expected return on your
portfolio is 6.5 + 7.0 = 13.50%. Assume a correlation coefficient of 1.
Coca - Cola
Coca - Cola x 12 σ12  (.65) 2  (31.5) 2
Reebok
McGraw Hill/Irwin
x 1 x 2 ρ12 σ1σ 2  .65  .35
 1  31.5  58.5
Reebok
x 1 x 2 ρ12 σ1σ 2  .65  .35
 1  31.5  58.5
x 22 σ 22  (.35) 2  (58.5) 2
Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
7- 17
Portfolio Risk
Example
Suppose you invest 65% of your portfolio in Coca-Cola and 35% in
Reebok. The expected dollar return on your CC is 10% x 65% = 6.5%
and on Reebok it is 20% x 35% = 7.0%. The expected return on your
portfolio is 6.5 + 7.0 = 13.50%. Assume a correlation coefficient of 1.
PortfolioValriance [(.65)2 x(31.5)2 ]
 [(.35)2 x(58.5)2 ]
 2(.65x.35x
1x31.5x58.
5)  1,006.1
Standard Deviation 1,006.1  31.7%
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7- 18
Portfolio Risk
ExpectedPortfolioReturn (x1 r1 )  (x 2 r2 )
PortfolioVariance  x12σ 12  x 22σ 22  2(x1x 2ρ 12σ 1σ 2 )
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7- 19
Portfolio Risk
The shaded boxes contain variance terms; the remainder
contain covariance terms.
1
2
3
STOCK
To calculate
portfolio
variance add
up the boxes
4
5
6
N
1
2
3
4
5
6
N
STOCK
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7- 20
Beta and Unique Risk
1. Total risk =
diversifiable risk +
market risk
2. Market risk is
measured by beta,
the sensitivity to
market changes
Expected
stock
return
beta
+10%
-10%
- 10%
+10%
-10%
Expected
market
return
Copyright
by The McGraw-Hill Companies, Inc Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved
McGraw1996
Hill/Irwin
7- 21
Beta and Unique Risk
Market Portfolio - Portfolio of all assets in the
economy. In practice a broad stock market
index, such as the S&P Composite, is used
to represent the market.
Beta - Sensitivity of a stock’s return to the
return on the market portfolio.
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7- 22
Beta and Unique Risk
 im
Bi  2
m
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7- 23
Beta and Unique Risk
 im
Bi  2
m
Covariance with the
market
Variance of the market
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7- 24
Preparation for Next Class
 Please read:
 BM Chapter8 , P187-212
McGraw Hill/Irwin
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