1. Risk, Return, & the Capital Asset
Pricing Model
1

2. Topics in Chapter





Basic return concepts
Basic risk concepts
Stand-alone risk
Portfolio (market) risk
Risk and return: CAPM/SML
2

3. Determinants of Intrinsic Value:
The Cost of Equity
Net operating
profit after taxes
Free cash flow
(FCF)
Value =
Required investments
in operating capital
−
FCF 1
FCF 2
+
(1 + WACC) 1 (1 + WACC) 2
=
...
+
FCF ∞
+
(1 + WACC) ∞
Weighted average
cost of capital
(WACC)
Market interest rates
Cost of debt
Cost of debt
Firm’s debt/equity mix
Market risk aversion
Cost of equity
Cost of equity
Firm’s business risk

4. > Risk, > Return, (both + & -)
Risk in Portfolio
Context
Stand – Alone Risk

a. Diversifiable

b. Market Risk

Quantified by Beta & used in

CAPM: Capital Asset Pricing
Model


Relationship b/w market risk &
required return as depicted in
SML
Req’d return =


Risk-free return + Mrkt risk Prem(Beta)
SML: ri = rRF + (RM - rRF )bi

5. What are investment returns?



Investment returns measure financial results
of an investment.
Returns may be historical or prospective
(anticipated).
Returns can be expressed in:


($) dollar terms.
(%) percentage terms.
5

6. An investment costs $1,000 and is
sold after 1 year for $1,100.
Dollar return:
$ Received - $ Invested
$1,100
- $1,000
= $100
Percentage return:
$ Return/$ Invested
$100/$1,000
= 0.10 = 10%
6

7. What is investment risk?



Typically, investment returns are not known
with certainty.
Investment risk pertains to the probability of
earning a return less than expected.
Greater the chance of a return far below the
expected return, greater the risk.
7

8. Risk & Return
Student Sue
Student Bob
Exam 1
70%
X weight
X 50%
Exam 1
50%
Exam 2
80%
X wt.
X 50%
-----------
Exam 2
100%
Final grade = 75 %
x
x
weight
.50
x
x
wt
.50
-------
Final grade = 75 %

9. Probability Distribution: Which
stock is riskier? Why?
St ock A
St ock B
-30
-15
0
15
30
45
60
Ret urns ( % )
9

10. WedTech Co




Normal 40%
Bad
30%
Good 30%
Return 20% = .08
Return 5% = .015
Return 35% = .105
=Expected ave return = 20%

11. WedTech Co




Standard Deviation: Measure of standalone risk
Return-Exp Ret = Diff2 x Prob =
Variance:
SD:

12. Standard Deviation and
Normal Distributions



1 SD = 68.26% likelihood
2 SD = 95.46%
3 SD = 99.74%

13. WedTech Co vs. IBM

14. Stand-Alone Risk


Standard deviation measures the standalone risk of an investment.
The larger the standard deviation, the
higher the probability that returns will be
far below the expected return.
14

15. WedTech Co & IBM in 2 stock
Portfolio

Ave Portfolio Return

Portfolio Standard Deviation

16. WedTech Co & IBM & adding
other stocks to Portfolio

IBM
WedTech

Coke
Microsoft

17. Historical Risk vs. Return
Return: Hi – Lo





Small Co stock
Large Co Stock
LT Corp Bonds
LT Treasuries
ST T-Bills
Risk: Hi - Lo

18. Reward-to-Variabilty Ratio (Sharpe’s)

Portfolio’s average return in excess of riskfree rate divided by standard deviation

19. Comparing Different Stocks






Coefficient of Variation :
= S.D. / Return; or Risk / Return
WalMart
12%
vs.
Return
S.D.
= C.V. =
Philip Morris
12%

20. Expected Return versus
Coefficient of Variation
Security
Alta Inds
Market
Am. Foam
T-bills
Repo Men
Expected
Return
17.4%
15.0
13.8
8.0
1.7
Risk:
σ
20.0%
15.3
18.8
0.0
13.4
Risk:
CV
1.1
1.0
1.4
0.0
7.9
20

21. Comparing Different Stocks




Correlation coefficient = r (rho):
Measures tendency of 2 variables to move
together. Rho (r) = 1 = perfect + correlation &
variables move together in unison.
Does not help with diversification
See text figures 6-9 thru 6-11

22. Two-Stock Portfolios





Two stocks can be combined to form a
riskless portfolio if ρ = -1.0.
Risk is not reduced at all if the two
stocks have ρ = +1.0.
In general, stocks have ρ ≈ 0.35, so risk
is lowered but not eliminated.
Investors typically hold many stocks.
What happens when ρ = 0?
22

23. Adding Stocks to a Portfolio


What would happen to the risk of an
average 1-stock portfolio as more
randomly selected stocks were added?
σp would decrease because the added
stocks would not be perfectly
correlated, but the expected portfolio
return would remain relatively constant.
23

24. σ1 stock ≈ 35%
σMany stocks ≈ 20%
1 st ock
2 st ocks
Many st ocks
-75 -60 -45 -30 -15 0
15 30 45 60 75 90 10
5
Ret urns ( % )
24

25. Risk vs. Number of Stock in
Portfolio
σp
Company Specific
(Diversifiable) Risk
35%
Stand-Alone Risk, σ p
20%
Market Risk
0
10
20
30
40
2,000 stocks
25

26. Stand-alone risk = Market risk
+ Diversifiable risk


Market risk is that part of a security’s
stand-alone risk that cannot be
eliminated by diversification.
Firm-specific, or diversifiable, risk is that
part of a security’s stand-alone risk that
can be eliminated by diversification.
26

27. Conclusions



As more stocks are added, each new stock
has a smaller risk-reducing impact on the
portfolio.
σp falls very slowly after about 40 stocks are
included. The lower limit for σp is about 20%
= σM .
By forming well-diversified portfolios,
investors can eliminate about half the risk of
owning a single stock.
27

28. Can an investor holding one stock earn a
return commensurate with its risk?



No. Rational investors will minimize
risk by holding portfolios.
They bear only market risk, so prices
and returns reflect this lower risk.
The one-stock investor bears higher
(stand-alone) risk, so the return is less
than that required by the risk.
28

29. How is market risk measured
for individual securities?



Market risk, which is relevant for stocks
held in well-diversified portfolios, is
defined as the contribution of a security
to the overall riskiness of the portfolio.
It is measured by a stock’s beta
coefficient. For stock i, its beta is:
bi = (ρi,M σi) / σM
29

30. How are betas calculated?

In addition to measuring a stock’s
contribution of risk to a portfolio, beta
also measures the stock’s volatility
relative to the market.
30

31. Using a Regression to
Estimate Beta


Run a regression with returns on the
stock in question plotted on the Y axis
and returns on the market portfolio
plotted on the X axis.
The slope of the regression line, which
measures relative volatility, is defined
as the stock’s beta coefficient, or b.
31

32. Use the historical stock returns to
calculate the beta for PQU.
Year
1
2
3
4
5
6
7
8
9
10
Market
25.7%
8.0%
-11.0%
15.0%
32.5%
13.7%
40.0%
10.0%
-10.8%
-13.1%
PQU
40.0%
-15.0%
-15.0%
35.0%
10.0%
30.0%
42.0%
-10.0%
-25.0%
25.0%
32

33. PQU Return
Calculating Beta for PQU
50%
40%
30%
20%
10%
0%
-10%
-20%
-30%
-30% -20% -10%
rPQU = 0.8308 rM + 0.0256
R2 = 0.3546
0%
10%
20%
30%
40%
50%
Market Return
33

34. Beta & PQU Co.





Beta reflects slope of line via regression
y = mx + b
m=slope + b= y intercept
Rpqu = 0.8308 r + 0.0256
M
So, PQU’s beta is .8308 & y-intercept @ 2.56%

35. Beta & PQU Co. & R2



R2 measures degree of dispersion about regression
line (ie – measures % of variance explained by
regression equation)
PQU’s R2 of .3546 means about 35% of PQU’s returns are
explained by the market returns (32% for a typical stock)
R2 of .95 on portfolio of 40 randomly selected stocks would
reflect a regression line with points tightly clustered to it.

36. Two-Stock Portfolios





Two stocks can be combined to form a
riskless portfolio if ρ = -1.0.
Risk is not reduced at all if the two
stocks have ρ = +1.0.
In general, stocks have ρ ≈ 0.35, so risk
is lowered but not eliminated.
Investors typically hold many stocks.
What happens when ρ = 0?
36

37. Adding Stocks to a Portfolio


What would happen to the risk of an
average 1-stock portfolio as more
randomly selected stocks were added?
σp would decrease because the added
stocks would not be perfectly
correlated, but the expected portfolio
return would remain relatively constant.
37

38. σ1 stock ≈ 35%
σMany stocks ≈ 20%
1 st ock
2 st ocks
Many st ocks
-75 -60 -45 -30 -15 0
15 30 45 60 75 90 10
5
Ret urns ( % )
38

39. Risk vs. Number of Stock in
Portfolio
σp
Company Specific
(Diversifiable) Risk
35%
Stand-Alone Risk, σ p
20%
Market Risk
0
10
20
30
40
2,000 stocks
39

40. Stand-alone risk = Market risk
+ Diversifiable risk


Market risk is that part of a security’s
stand-alone risk that cannot be
eliminated by diversification.
Firm-specific, or diversifiable, risk is that
part of a security’s stand-alone risk that
can be eliminated by diversification.
40

41. Conclusions



As more stocks are added, each new stock
has a smaller risk-reducing impact on the
portfolio.
σp falls very slowly after about 40 stocks are
included. The lower limit for σp is about 20%
= σM .
By forming well-diversified portfolios,
investors can eliminate about half the risk of
owning a single stock.
41

42. Can an investor holding one stock earn a
return commensurate with its risk?



No. Rational investors will minimize
risk by holding portfolios.
They bear only market risk, so prices
and returns reflect this lower risk.
The one-stock investor bears higher
(stand-alone) risk, so the return is less
than that required by the risk.
42

43. How is market risk measured
for individual securities?



Market risk, which is relevant for stocks
held in well-diversified portfolios, is
defined as the contribution of a security
to the overall riskiness of the portfolio.
It is measured by a stock’s beta
coefficient. For stock i, its beta is:
bi = (ρi,M σi) / σM
43

44. How are betas calculated?

In addition to measuring a stock’s
contribution of risk to a portfolio, beta
also measures the stock’s volatility
relative to the market.
44

45. Using a Regression to
Estimate Beta


Run a regression with returns on the
stock in question plotted on the Y axis
and returns on the market portfolio
plotted on the X axis.
The slope of the regression line, which
measures relative volatility, is defined
as the stock’s beta coefficient, or b.
45

46. Use the historical stock returns to
calculate the beta for PQU.
Year
1
2
3
4
5
6
7
8
9
10
Market
25.7%
8.0%
-11.0%
15.0%
32.5%
13.7%
40.0%
10.0%
-10.8%
-13.1%
PQU
40.0%
-15.0%
-15.0%
35.0%
10.0%
30.0%
42.0%
-10.0%
-25.0%
25.0%
46

47. PQU Return
Calculating Beta for PQU
50%
40%
30%
20%
10%
0%
-10%
-20%
-30%
-30% -20% -10%
rPQU = 0.8308 rM + 0.0256
R2 = 0.3546
0%
10%
20%
30%
40%
50%
Market Return
47

48. Expected Return versus Market
Risk: Which investment is best?
Security
Alta
Market
Am. Foam
T-bills
Repo Men
Expected
Return (%)
17.4
15.0
13.8
8.0
1.7
Risk, b
1.29
1.00
0.68
0.00
-0.86
48

49. Capital Asset Pricing Model


The Security Market Line (SML) is part of the
Capital Asset Pricing Model (CAPM).
Return = Risk Free + Beta (RetMrkt –Rf)

SML: ri = rRF + (RPM)bi .

Assume rRF = 8%; rM = rM = 15%.

RPM = (rM - rRF) = 15% - 8% = 7%.
49

50. Use the SML to calculate each
alternative’s required return.

The Security Market Line (SML) is part
of the Capital Asset Pricing Model
(CAPM).

SML: ri = rRF + (RPM)bi .

Assume rRF = 8%; rM = rM = 15%.

RPM = (rM - rRF) = 15% - 8% = 7%.
50

51. Required Rates of Return

rAlta = 8.0% + (7%)(1.29) = 17%.

rM = 8.0% + (7%)(1.00) = 15.0%.

rAm. F. = 8.0% + (7%)(0.68) = 12.8%.

rT-bill = 8.0% + (7%)(0.00) = 8.0%.

rRepo = 8.0% + (7%)(-0.86) = 2.0%.
51

52. Expected versus Required
Returns (%)
Alta
Market
Am.
Foam
T-bills
Repo
Exp.
r
17.4
15.0
13.8
Req.
r
17.0
15.0
12.8
8.0
1.7
8.0
2.0
Undervalued
Fairly valued
Undervalued
Fairly valued
Overvalued 52

53. SML: ri = rRF + (RPM) bi
ri = 8% + (7%) bi
ri (%)
.
Alta
rM = 15
rRF = 8
.
Repo
-1
. .
. T-bills
0
Market
Am. Foam
1
2
Risk, bi
53

54. Calculate beta for a portfolio
with 50% Alta and 50% Repo
bp = Weighted average
= 0.5(bAlta) + 0.5(bRepo)
= 0.5(1.29) + 0.5(-0.86)
= 0.22.
54

55. Required Return on the
Alta/Repo Portfolio?
rp = Weighted average r
= 0.5(17%) + 0.5(2%) = 9.5%.
Or use SML:
rp = rRF + (RPM) bp
= 8.0% + 7%(0.22) = 9.5%.
55

56. Impact of Inflation Change on
SML
r (%)
New SML
∆ I = 3%
SML2
SML1
18
15
Original situation
11
8
0
0.5
1.0
1.5
Risk, bi
56

57. Impact of Risk Aversion
Change
r (%)
After change
SML2
SML1
18
∆ RPM = 3%
15
Original situation
8
1.0
Risk, bi 57

58. Has the CAPM been completely
confirmed or refuted?

No. The statistical tests have problems
that make empirical verification or
rejection virtually impossible.


Investors’ required returns are based on
future risk, but betas are calculated with
historical data.
Investors may be concerned about both
stand-alone and market risk.
58

59. Below are per book mini-case

60. Consider the Following
Investment Alternatives
Econ.
Prob. T-Bill
Alta
Repo
Am F.
MP
10.0% -13.0%
Bust
0.10 8.0% -22.0%
28.0%
Below avg.
0.20 8.0
-2.0
14.7
-10.0
1.0
Avg.
0.40 8.0
20.0
0.0
7.0
15.0
Above avg.
0.20 8.0
35.0
-10.0
45.0
29.0
Boom
0.10 8.0
50.0
-20.0
30.0
43.0
1.00
60

61. What is unique about T-bill
returns?


T-bill returns 8% regardless of the state of
the economy.
Is T-bill riskless? Explain.
61

62. Alta Inds. and Repo Men
vs. Economy


Alta moves with economy, so it is positively
correlated with economy. This is typical
Repo Men moves counter to economy.
Such negative correlation is unusual.
62

63. Calculate the expected rate of
return on each alternative.
^ r = expected rate of return
(think wtd average)
^
^=
r
rAlta = 0.10(-22%) + 0.20(-2%)
+ 0.40(20%) + 0.20(35%)
+ 0.10(50%) = 17.4%.
n
∑ riPi.
i=1
63

64. Alta has the highest rate of
return. Does that make it best?
Alta
Market
Am. Foam
T-bill
Repo Men
Expected return
17.4%
15.0
13.8
8.0
1.7
64

65. What is the standard deviation
of returns for each alternative?
σ = Standard deviation
σ = √ Variance = √ σ2
=
√
n
^
∑ (ri – r)2 Pi.
i=1
65

66. Standard Deviation of Alta
Industries
σ = [(-22 - 17.4)20.10 + (-2 - 17.4)20.20
+ (20 - 17.4)20.40 + (35 - 17.4)20.20
+ (50 - 17.4)20.10]1/2
= 20.0%.
66

67. Standard Deviation of
Alternatives
σT-bills
= 0.0%.
σ Alta
= 20.0%.
σ Repo
= 13.4%.
σ Am Foam = 18.8%.
σMarket
= 15.3%.
67

68. Expected Return versus Risk
Security
Alta Inds.
Market
Am. Foam
T-bills
Repo Men
Expected
Return
17.4%
15.0
13.8
8.0
1.7
Risk, σ
20.0%
15.3
18.8
0.0
13.4
68

69. Coefficient of Variation (CV)






CV = Standard deviation / Expected
return
CVT-BILLS = 0.0% / 8.0% = 0.0.
CVAlta Inds = 20.0% / 17.4% = 1.1.
CVRepo Men = 13.4% / 1.7% = 7.9.
CVAm. Foam = 18.8% / 13.8% = 1.4.
CVM = 15.3% / 15.0% = 1.0.
69

70. Expected Return versus
Coefficient of Variation
Security
Alta Inds
Market
Am. Foam
T-bills
Repo Men
Expected
Return
17.4%
15.0
13.8
8.0
1.7
Risk:
σ
20.0%
15.3
18.8
0.0
13.4
Risk:
CV
1.1
1.0
1.4
0.0
7.9
70

71. Return vs. Risk (Std. Dev.):
Which investment is best?
20.0%
Alta
Return
15.0%
10.0%
Mkt
Am. Foam
T-bills
5.0%
Repo
0.0%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
Risk (Std. Dev.)
71

72. Portfolio Risk and Return
Assume a two-stock portfolio with
$50,000 in Alta Inds. and $50,000 in
Repo Men.
Calculate ^ p and σp.
r
72

73. Portfolio Expected Return
^
rp is a weighted average (wi is % of
portfolio in stock i):
n
^ = Σ w r^
rp
i i
i=1
^ r = 0.5(17.4%) + 0.5(1.7%) = 9.6%.
p
73

74. Alternative Method: Find portfolio
return in each economic state
Economy
Port.=
0.5(Alta)
+
0.5(Repo)
3.0%
Prob.
Alta
Repo
Bust
0.10
-22.0%
28.0%
Below
avg.
Average
Above
avg.
Boom
0.20
-2.0
14.7
6.4
0.40
0.20
20.0
35.0
0.0
-10.0
10.0
12.5
0.10
50.0
-20.0
15.0
74

75. Use portfolio outcomes to
estimate risk and expected return
^ = (3.0%)0.10 + (6.4%)0.20 + (10.0%)0.40
rp
+ (12.5%)0.20 + (15.0%)0.10 = 9.6%
σp = ((3.0 - 9.6)20.10 + (6.4 - 9.6)20.20
+(10.0 - 9.6)20.40 + (12.5 - 9.6)20.20
+ (15.0 - 9.6)20.10)1/2 = 3.3%
CVp = 3.3%/9.6% = .34
75

76. Portfolio vs. Its Components


Portfolio expected return (9.6%) is
between Alta (17.4%) and Repo (1.7%)
returns.
Portfolio standard deviation is much
lower than:



either stock (20% and 13.4%).
average of Alta and Repo (16.7%).
The reason is due to negative
correlation (ρ) between Alta and Repo
returns.
76

77. Two-Stock Portfolios





Two stocks can be combined to form a
riskless portfolio if ρ = -1.0.
Risk is not reduced at all if the two
stocks have ρ = +1.0.
In general, stocks have ρ ≈ 0.35, so risk
is lowered but not eliminated.
Investors typically hold many stocks.
What happens when ρ = 0?
77

78. Adding Stocks to a Portfolio


What would happen to the risk of an
average 1-stock portfolio as more
randomly selected stocks were added?
σp would decrease because the added
stocks would not be perfectly
correlated, but the expected portfolio
return would remain relatively constant.
78

79. σ1 stock ≈ 35%
σMany stocks ≈ 20%
1 st ock
2 st ocks
Many st ocks
-75 -60 -45 -30 -15 0
15 30 45 60 75 90 10
5
Ret urns ( % )
79

80. Risk vs. Number of Stock in
Portfolio
σp
Company Specific
(Diversifiable) Risk
35%
Stand-Alone Risk, σ p
20%
Market Risk
0
10
20
30
40
2,000 stocks
80

81. Stand-alone risk = Market risk
+ Diversifiable risk


Market risk is that part of a security’s
stand-alone risk that cannot be
eliminated by diversification.
Firm-specific, or diversifiable, risk is that
part of a security’s stand-alone risk that
can be eliminated by diversification.
81

82. Conclusions



As more stocks are added, each new stock
has a smaller risk-reducing impact on the
portfolio.
σp falls very slowly after about 40 stocks are
included. The lower limit for σp is about 20%
= σM .
By forming well-diversified portfolios,
investors can eliminate about half the risk of
owning a single stock.
82

83. Can an investor holding one stock earn a
return commensurate with its risk?



No. Rational investors will minimize
risk by holding portfolios.
They bear only market risk, so prices
and returns reflect this lower risk.
The one-stock investor bears higher
(stand-alone) risk, so the return is less
than that required by the risk.
83

84. How is market risk measured
for individual securities?



Market risk, which is relevant for stocks
held in well-diversified portfolios, is
defined as the contribution of a security
to the overall riskiness of the portfolio.
It is measured by a stock’s beta
coefficient. For stock i, its beta is:
bi = (ρi,M σi) / σM
84

85. How are betas calculated?

In addition to measuring a stock’s
contribution of risk to a portfolio, beta
also measures the stock’s volatility
relative to the market.
85

86. Using a Regression to
Estimate Beta


Run a regression with returns on the
stock in question plotted on the Y axis
and returns on the market portfolio
plotted on the X axis.
The slope of the regression line, which
measures relative volatility, is defined
as the stock’s beta coefficient, or b.
86

87. Use the historical stock returns to
calculate the beta for PQU.
Year
1
2
3
4
5
6
7
8
9
10
Market
25.7%
8.0%
-11.0%
15.0%
32.5%
13.7%
40.0%
10.0%
-10.8%
-13.1%
PQU
40.0%
-15.0%
-15.0%
35.0%
10.0%
30.0%
42.0%
-10.0%
-25.0%
25.0%
87

88. PQU Return
Calculating Beta for PQU
50%
40%
30%
20%
10%
0%
-10%
-20%
-30%
-30% -20% -10%
rPQU = 0.8308 rM + 0.0256
R2 = 0.3546
0%
10%
20%
30%
40%
50%
Market Return
88

89. What is beta for PQU?

The regression line, and hence beta,
can be found using a calculator with a
regression function or a spreadsheet
program. In this example, b = 0.83.
89

90. Calculating Beta in Practice



Many analysts use the S&P 500 to find
the market return.
Analysts typically use four or five years’
of monthly returns to establish the
regression line.
Some analysts use 52 weeks of weekly
returns.
90

91. How is beta interpreted?





If b = 1.0, stock has average risk.
If b > 1.0, stock is riskier than average.
If b < 1.0, stock is less risky than
average.
Most stocks have betas in the range of
0.5 to 1.5.
Can a stock have a negative beta?
91

92. Other Web Sites for Beta



Go to http://finance.yahoo.com
Enter the ticker symbol for a “Stock
Quote”, such as IBM or Dell, then click
GO.
When the quote comes up, select Key
Statistics from panel on left.
92

93. Expected Return versus Market
Risk: Which investment is best?
Security
Alta
Market
Am. Foam
T-bills
Repo Men
Expected
Return (%)
17.4
15.0
13.8
8.0
1.7
Risk, b
1.29
1.00
0.68
0.00
-0.86
93

94. Use the SML to calculate each
alternative’s required return.

The Security Market Line (SML) is part
of the Capital Asset Pricing Model
(CAPM).

SML: ri = rRF + (RPM)bi .

Assume rRF = 8%; rM = rM = 15%.

RPM = (rM - rRF) = 15% - 8% = 7%.
94

95. Required Rates of Return

rAlta = 8.0% + (7%)(1.29) = 17%.

rM = 8.0% + (7%)(1.00) = 15.0%.

rAm. F. = 8.0% + (7%)(0.68) = 12.8%.

rT-bill = 8.0% + (7%)(0.00) = 8.0%.

rRepo = 8.0% + (7%)(-0.86) = 2.0%.
95

96. Expected versus Required
Returns (%)
Alta
Market
Am.
Foam
T-bills
Repo
Exp.
r
17.4
15.0
13.8
Req.
r
17.0
15.0
12.8
8.0
1.7
8.0
2.0
Undervalued
Fairly valued
Undervalued
Fairly valued
Overvalued 96

97. SML: ri = rRF + (RPM) bi
ri = 8% + (7%) bi
ri (%)
.
Alta
rM = 15
rRF = 8
.
Repo
-1
. .
. T-bills
0
Market
Am. Foam
1
2
Risk, bi
97

98. Calculate beta for a portfolio
with 50% Alta and 50% Repo
bp = Weighted average
= 0.5(bAlta) + 0.5(bRepo)
= 0.5(1.29) + 0.5(-0.86)
= 0.22.
98

99. Required Return on the
Alta/Repo Portfolio?
rp = Weighted average r
= 0.5(17%) + 0.5(2%) = 9.5%.
Or use SML:
rp = rRF + (RPM) bp
= 8.0% + 7%(0.22) = 9.5%.
99

100. Impact of Inflation Change on
SML
r (%)
New SML
∆ I = 3%
SML2
SML1
18
15
Original situation
11
8
0
0.5
1.0
1.5
Risk, bi
100

101. Impact of Risk Aversion
Change
r (%)
After change
SML2
SML1
18
∆ RPM = 3%
15
Original situation
8
1.0
Risk, bi101

102. Has the CAPM been completely
confirmed or refuted?

No. The statistical tests have problems
that make empirical verification or
rejection virtually impossible.


Investors’ required returns are based on
future risk, but betas are calculated with
historical data.
Investors may be concerned about both
stand-alone and market risk.
102