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Midterm Review
A few pointers

PORTFOLIO THEORY

Expected returns
• As we talk about annual expected returns, keep in mind what they are:
E(D1 ) + E ( P1 )
E(ri ) =
-1
P0
E(D1 ) E(P1 ) - P0
=
+
P0
P0

Risk
• As time passes, realized stock prices and dividends may differ from what you expected.
• Such future deviations from expectations represent, from today’s perspective, risk.
• Standard deviation measures this risk
(“average deviation from expectation”).

Portfolios
• When you form portfolios of securities, you combine the “expected returns” and “risks” of the individual securities in a particular way.
• There are two ways to calculate the portfolio’s expected return and standard deviation from information about the individual securities.

Method 1
STEP 1: Compute the return distribution of the portfolio. STEP 2: Then compute the expected value and the standard deviation of that distribution.

Method 1 Example
• Consider a “50-50” portfolio of two securities.
• You are provided with the individual return distributions of the two securities:
State

Probability

Return Security A

Return Security B Portfolio Return

1

20%

50%

30%

.5*50%+.5*30%

2

60%

0%

0%

0%

3

20%

-50%

-30%

-.5*50%-.5*30%

• STEP 1: Compute the portfolio return distribution.

Method 1 Example
State

Probability

Portfolio Return

1

20%

40%

2

60%

0%

3

20%

-40%

• STEP 2: Compute the expected value and standard deviation of the portfolio return distribution.
– Expected portfolio return: 0%
– Portfolio return variance: (.4-0)^2*20%+(0-0)^2*60%+(-.40)^2*20%=6.4%
– Portfolio standard deviation: (.064)^(1/2)=29.3%
(When squaring or taking the root of percentages, first convert to decimal numbers.)

Method 1 Example
• What if I change the original distribution a bit?
State

Probability

Return Security A

Return Security B Portfolio Return

1

20%

50%

-30%

10%

2

60%

0%

0%

0%

3

20%

-50%

30%

-10%

• In this case, we get
– Expected portfolio return:
0%
– Portfolio standard deviation: 6.3%

Method 2
• STEP 1: Compute the expected return and return variance of each security. Also compute the covariance between all pairs of securities.
• STEP 2: Use the “portfolio formulas” to compute the expected portfolio return and portfolio standard deviation.
(Particularly good method if STEP 1 is already given.)

Method 2 Example
• Consider a “50-50” portfolio of two securities.
• You are provided with the individual return distributions of the two securities:
State

Probability

Return Security A

Return Security B

1

20%

50%

30%

2

60%

0%

0%

3

20%

-50%

-30%

• STEP 1: Compute the expected return and return variance for each security. Also compute the covariance between all pairs of securities.

Method 2 Example
State

Probability

Return Security A

Return Security B

1

20%

50%

30%

2

60%

0%

0%

3

20%

-50%

-30%

Expected Return

0%

0%

Return Variance

10%

3.6%

Covariance

6%

• Covariance between A and B: (.5-0)(.3-0)*20%+(00)(0-0)*60%+(-.5-0)(-.3-0)*20%=6%

Method 2 Example
Return Security A

Return Security B

Expected Return

0%

0%

Return Variance

10%

3.6%

Covariance

6%

• STEP 2: Use the “portfolio formulas.”
– Expected portfolio return: .5*0%+.5*0%=0%

– Portfolio return variance:
(.5)^2*10%+(.5)^2*3.6%+2*.5*.5*6%=6.4%

– Portfolio standard deviation: (.064)^(1/2)=29.3%

Method 2 Example
• The other, slightly modified example
• STEP 1:
State

Probability

Return Security A

Return Security B

1

20%

50%

-30%

2

60%

0%

0%

3

20%

-50%

30%

Expected Return

0%

0%

Return Variance

10%

3.6%

Covariance

-6%

Method 2 Example
Return Security A

Return Security B

Expected Return

0%

0%

Return Variance

10%

3.6%

Covariance

-6%

• STEP 2:
– Portfolio expected return: 0%.
– Portfolio return variation:
(.5)^2*10%+(.5)^2*3.6%+2*.5*.5*(-6%)=.4%
– Portfolio standard deviation: (.4)^(1/2)=6.32%

CAPM

Don’t just memorize the formula

ri = rf + bi ( rm - rf ) s im bi º 2 sm • Understand what the components stand for, and what drives them.

Using the formula
• Internalize three basic ways of using the CAPM formula (there are more):
1. Finding the required return of a security
2. Assessing whether a security is mis-valued

3. Understand how changes in economic fundamentals affect expected returns

Use #1
• You have the following information:
Risk-free rate (rf)

2.5%

Market risk premium (rm-rf)

7.2%

Market standard deviation (σm)
Covariance of return of security i with market return (σxm)

6%
0.64%

• The required (expected) return – or equivalently, the discount rate – for security i is:
Beta_i=.64%/(6%)^2=1.78
R_i=2.5%+1.78*7.2%=10.87%

Use #2
• Suppose you have the following information…
Risk-free rate (rf)

2.5%

Market risk premium (rm-rf)

7.2%

Market standard deviation (σm)
Covariance of return of security i with market return (σxm)

6%
0.64%

…and believe, for your own reasons, that the expected return on security i will be Es(ri) = 6% if you buy the security at the current market price. (The subscript “s” denotes your subjective beliefs.)

Use #2
• Given security i’s beta, the expected return required from a security with this systematic risk (according to
CAPM) is 10.87%

• Since you expect the return to be lowe than 10.87%
(based on your subjective information), the security is in your opinion currently overvalued. You should therefore sell the security.

Use #3

ri = rf + bi ( rm - rf ) s im bi º 2 sm • Suppose company i moves its business away from
“utilities” and into “information technology.”
• Suppose uncertainty about future interest rates
(interest rate risk) decreases.

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