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A B C D E F G H I
12/9/2012
Amount invested $1,000
Amount received in one year $1,060
Dollar return (Profit) $60
Rate of return = Profit/Investment = 6%
Return on a
10-Year
ZeroCoupon
Treasury
Bond During
Next Year
Probability of
Scenario
CHAPTER 6 MINI CASE
a. What are investment returns? What is the return on an investment that costs $1,000 and is sold after 1
year for $1,060?
b. Graph the probability distribution for the 5 scenarios during the next year for the 10-year zero coupon
bonds. What might the graph of the probability distribution look like if there were an infinite number of
scenarios (i.e., if it were a continuous distribution and not a discrete distribution)?
Continuous Probability Distribution for Infinite Number of Scenarios
You have also gathered historical returns for the past 10 years for Blandy, Gourmange Corporation (a
producer of gourmet specialty foods), and the stock market.
The risk-free rate is 4% and the market risk premium is 5%.
Assume that you recently graduated and landed a job as a financial planner with Cicero Services, an
investment advisory company. Your first client recently inherited some assets and has asked you to evaluate
them. The client presently owns a bond portfolio with $1 million invested in zero coupon Treasury bonds
that mature in 10 years. The client also has $2 million invested in the stock of Blandy, Inc., a company that
produces meat-and-potatoes frozen dinners. Blandy’s slogan is “Solid food for shaky times.”
Scenario
Discrete Probability Distribution for 5 Scenarios
0.3
0.4
0.4
0.5
Probability of
Scenario
0.08
0.16
0.18
Probability
Continuous Probability Distribution
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A B C D E F G H I
Calculating Expected Returns
Inputs: Expected Return
Probability of
Scenario
Rate of
Return
Product of
Probability and
Return
Excel function for finding expected return of discrete events:
Calculating Expected Returns and Standard Deviations: Discrete Probabilities
Inputs: Expected Return
Scenario
Probability of
Scenario
(1)
Rate of
Return
(2)
Product of
Probability and
Return
(1) x (2) = (3)
Deviation from
Expected Return
(2) − Exp. r = (4)
Squared
Deviation
(4)2 = (5)
Sq. Dev. ×
Prob.
(1) x (5) = (6)
Worst Case 0.10 −14% −1.4% −20% 4.0% 0.4%
Poor Case 0.20 −4% −0.8% −10% 1.0% 0.2%
Excel functions for finding expected return and standard deviation of discrete events
10.95%
Use SUMPRODUCT to find expected return by putting probabilities in first argument array
and rates of return in the second argument array.
Use SUMPRODUCT to find expected return by putting probabilities in first argument array
and rates of return in the second argument array.
d. What is stand-alone risk? Use the scenario data to calculate the standard deviation of the bond’s return for
the next year.
6%
Standard Deviation
c. Use the scenario data to calculate the expected rate of return for the 10-year zero coupon Treasury bonds
during the next year.
6%
Take the square root of the variance to get the standard deviation.
e. Your client has decided that the risk of the bond portfolio is acceptable and wishes to leave it as it is. Now
your client has asked you to use historical returns to estimate the standard deviation of Blandy’s stock
Use SUMPRODUCT to find variance by putting probabilities in first argument array, the
putting outcomes minus the expected value in the second and third arrays.
1.20%
f. Your client is shocked at how much risk Blandy stock has and would like to reduce the level of risk. You
suggest that the client sell 25% of the Blandy stock and create a portfolio with 75% Blandy stock and 25% in
the high-risk Gourmange stock. How do you suppose the client will react to replacing some of the Blandy
stock with high-risk stock? Show the client what the proposed portfolio return would have been in each of
year of the sample. Then calculate the s average return and standard deviation using the portfolio’s annual
returns. How does the risk of this two-stock portfolio compare with the risk of the individual stocks if they
were held in isolation?
0.02
0.04
0.06
0.08
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A B C D E F G H I
Blandy Gourmange
Weight in : 75% 25%
Year Blandy Gourmange Portfolio
126% 47% 31.3%
215% -54% -2.3%
3-14% 15% -6.8%
Notice that the historical returns for Blandy and Gourmange do not move in perfect lockstep.
Correlation between Blandy and Gourmange
r = 0.11
Use the Excel function:
=CORREL(Blandy_returns,Gourmange_returns)
f. Your client is shocked at how much risk Blandy stock has and would like to reduce the level of risk. You
suggest that the client sell 25% of the Blandy stock and create a portfolio with 75% Blandy stock and 25% in
the high-risk Gourmange stock. How do you suppose the client will react to replacing some of the Blandy
stock with high-risk stock? Show the client what the proposed portfolio return would have been in each of
year of the sample. Then calculate the s average return and standard deviation using the portfolio’s annual
returns. How does the risk of this two-stock portfolio compare with the risk of the individual stocks if they
were held in isolation?
Loosely speaking, correlation measures the tendency of two variables to move together.
g. Explain correlation to your client. Calculate the estimated correlation between Blandy and Gourmange.
Does this explain why the portfolio standard deviation was less than Blandy’s standard deviation?
h. Suppose an investor starts with a portfolio consisting of one randomly selected stock. As more and more
randomly selected stocks are added to the portfolio, what happens to the portfolio’s risk?
Historical Stock Returns for Blandy and Gourmange
Stock Returns
Gourmange
15%
30%
45%
60%
75%
Rate of Return
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A B C D E F G H I
Beta for Stock i = bi = riM(si/sM)
rRF The risk-free rate. It varies over time, but is constant for all firms at a given time.
ri = rRF + bi (RPM)
Year Market Blandy Gourmange
130% 26% 47%
27% 15% -54%
318% -14% 15%
4-22% -15% 7%
Risk-free rate = 4%
Market risk premium = 5%
Blandy Gourmange Average Stock
Beta = 0.60 1.30 1.00
ri = 7.0% 10.5% 9.0%
i. (1.) Should portfolio effects impact the way investors think about the risk of individual stocks? Answer: See
Ch 06 Mini Case Show
(2.) If you decided to hold a 1-stock portfolio and consequently were exposed to more risk than diversified
investors, could you expect to be compensated for all of your risk; that is, could you earn a risk premium on
that part of your risk that you could have eliminated by diversifying? Answer: See Ch 06 Mini Case Show
m. Show how to estimate beta using regression analysis.
The SML shows the relationship between the stock's beta and its required return, as predicted by the CAPM.
The SML predicts stock i's required return to be:
Stock Returns of Blandy and the Market: Estimating Beta
Stock Returns
l. Calculate the correction coefficient between Blandy and the market. Use this and the previously calculated
(or given) standard deviations of Blandy and the market to estimate Blandy’s beta. Does Blandy contribute
more or less risk to a well-diversified portfolio than does the average stock? Use the SML to estimate Blandy’s
required return. Assume that the risk-free rate is 4% and the market risk premium is 5%. Use the SML to
estimate Blandy’s required return.
k. What is the Security Market Line? How is beta related to a stock’s required rate of return?
y-axis: Historical
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A B C D E F G H I
Base Case
Higher Risk-
Free Rate
Higher Market
Risk Premium
rRF 4% 7% 4%
rM5% 5% 8%
Beta
SML: Base
Case
Base Case Risk-
Free Rate
SML: Higher Risk-
Free Rate
SML: Higher
Market Risk
Premium
0.00 4.0% 4% 7.0% 4.00%
2.00 14.0% 4% 17.0% 20.00%
Changes to Inputs for the Security Market Line
The Security Market Line shows the projected changes in expected return, due to changes in the beta
coefficient. However, we can also look at the potential changes in the required return due to variations in
other factors, for example the market return and risk-free rate. In other words, we can see how required
n. (1) Suppose interest rates go up by 3 percentage points over the current 4% risk-free rate. What effect
would higher interest rates have on the SML and on the returns required on high- and low-risk securities? (2)
Suppose instead that investors’ risk aversion increased enough to cause the market risk premium to increase
by 3 percentage points. (Assume the risk-free rate remains constant.) What effect would this have on the SML
and on returns of high- and low-risk securities?
o. Your client decides to invest $1.4 million in Blandy stock and $0.6 million in Gourmange stock. What are
the weights for this portfolio? What is the portfolio’s beta? What is the required return for this portfolio?
SML: Base
Case
SML: Higher
Risk-Free Rate
10%
12%
14%
16%
18%
Required Return
Impact of Increase in Risk-Free Rate
y = 0.6027x + 0.0158
R² = 0.2316
45.0%
y-axis: Historical
Blandy Returns
SML: Base
Case
SML: Higher
Market Risk
Premium
12%
14%
16%
18%
20%
22%
Required Return
Impact of Increase in Market Risk Premium
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A B C D E F G H I
Stock
Amount of
Investment
Portfolio
Weight
Beta Weighted Beta
Blandy $1,400,000 0.7 0.60 0.42
rp = 8.06%
Alternative Approach to Find Required Return on Porfolio
Stock
Amount of
Investment
Portfolio
Weight
Required Return Weighted Return
Blandy $1,400,000 0.7 7.0% 4.91%
JJ CC
Portfolio beta = 0.7 1.4 0 2
q. What does market equilibrium mean? If equilibrium does not exist, how will it be established? Answer:
See Ch 06 Mini Case Show
r. What is the Efficient Markets Hypothesis (EMH) and what are its three forms? What evidence supports the
EMH? What evidence casts doubt on the EMH? Answer: See Ch 06 Mini Case Show
o. Your client decides to invest $1.4 million in Blandy stock and $0.6 million in Gourmange stock. What are
the weights for this portfolio? What is the portfolio’s beta? What is the required return for this portfolio?
The required return on a portfolio is a weighted average of the required returns of the individual assets in
the portfolio.
Portfolio Manager
Additonal data for graph
p. Jordan Jones (JJ) and Casey Carter (CC) are portfolio managers at your firm. Each manages a well-
diversified portfolio. Your boss has asked for your opinion regarding their performance in the past year. JJ’s
portfolio has a beta of 0.6 and had a return of 8.5%; CC’s portfolio has a beta of 1.4 and had a return of 9.5%.
Which manager had better performance? Why?
SML
10%
12%
14%
16%
Required Return
Performance Evaluation
