Lecture 5 Return and Risk: The Capital Asset Pricing Model Outline - - PowerPoint PPT Presentation

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Lecture 5 Return and Risk: The Capital Asset Pricing Model Outline - - PowerPoint PPT Presentation

Lecture 5 Return and Risk: The Capital Asset Pricing Model Outline 1 Individual Securities 2 Expected Return, Variance, and Covariance 3 The Return and Risk for Portfolios 4 The Efficient Set for Two Assets 5 The Efficient Set for Many


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Return and Risk: The Capital Asset Pricing Model

Lecture 5

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Outline

1 Individual Securities 2 Expected Return, Variance, and Covariance 3 The Return and Risk for Portfolios 4 The Efficient Set for Two Assets 5 The Efficient Set for Many Assets 6 Diversification 7 Riskless Borrowing and Lending 8 Market Equilibrium 9 Relationship between Risk and Expected Return (CAPM)

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References

 Ross, S., Westerfield, R. and Jaffe, J.

(2013), Corporate Finance (10th Edition), McGraw Hill/Irvin. (Chapter 11)

 Moyer, R.C., McGuigan, J.R., and Rao,

R.P. (2015), Contemporary Financial Management (13th Edition), Cengage

  • Learning. (Chapter 8)
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11.1 Individual Securities

 The characteristics of individual securities

that are of interest are the:

 Expected Return  Variance and Standard Deviation  Covariance and Correlation (to another security

  • r index)
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11.2 Expected Return, Variance, and Covariance

Consider the following two risky asset

  • world. There is a 1/3 chance of each state of

the economy, and the only assets are a stock fund and a bond fund.

Rate of Return Scenario Probability Stock Fund Bond Fund Recession 33.3%

  • 7%

17% Normal 33.3% 12% 7% Boom 33.3% 28%

  • 3%
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Expected Return

Stock Fund Bond Fund Rate of Squared Rate of Squared

Scenario

Return Deviation Return Deviation Recession

  • 7%

0.0324 17% 0.0100 Normal 12% 0.0001 7% 0.0000 Boom 28% 0.0289

  • 3%

0.0100 Expected return 11.00% 7.00% Variance 0.0205 0.0067 Standard Deviation 14.3% 8.2%

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Stock Fund Bond Fund Rate of Squared Rate of Squared

Scenario

Return Deviation Return Deviation Recession

  • 7%

0.0324 17% 0.0100 Normal 12% 0.0001 7% 0.0000 Boom 28% 0.0289

  • 3%

0.0100 Expected return 11.00% 7.00% Variance 0.0205 0.0067 Standard Deviation 14.3% 8.2%

Expected Return

% 11 ) ( %) 28 ( 3 1 %) 12 ( 3 1 %) 7 ( 3 1 ) (        

S S

r E r E

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Stock Fund Bond Fund Rate of Squared Rate of Squared

Scenario

Return Deviation Return Deviation Recession

  • 7%

0.0324 17% 0.0100 Normal 12% 0.0001 7% 0.0000 Boom 28% 0.0289

  • 3%

0.0100 Expected return 11.00% 7.00% Variance 0.0205 0.0067 Standard Deviation 14.3% 8.2%

Variance

0324 . %) 11 % 7 (

2 

 

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Stock Fund Bond Fund Rate of Squared Rate of Squared

Scenario

Return Deviation Return Deviation Recession

  • 7%

0.0324 17% 0.0100 Normal 12% 0.0001 7% 0.0000 Boom 28% 0.0289

  • 3%

0.0100 Expected return 11.00% 7.00% Variance 0.0205 0.0067 Standard Deviation 14.3% 8.2%

Variance

) 0289 . 0001 . 0324 (. 3 1 0205 .   

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Stock Fund Bond Fund Rate of Squared Rate of Squared

Scenario

Return Deviation Return Deviation Recession

  • 7%

0.0324 17% 0.0100 Normal 12% 0.0001 7% 0.0000 Boom 28% 0.0289

  • 3%

0.0100 Expected return 11.00% 7.00% Variance 0.0205 0.0067 Standard Deviation 14.3% 8.2%

Standard Deviation

0205 . % 3 . 14 

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Covariance

Stock Bond

Scenario

Deviation Deviation Product Weighted Recession

  • 18%

10%

  • 0.0180
  • 0.0060

Normal 1% 0% 0.0000 0.0000 Boom 17%

  • 10%
  • 0.0170
  • 0.0057

Sum

  • 0.0117

Covariance

  • 0.0117

“Deviation” compares return in each state to the expected return. “Weighted” takes the product of the deviations multiplied by the probability of that state.

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Correlation

998 . ) 082 )(. 143 (. 0117 . ) , (         

b a

b a Cov

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Stock Fund Bond Fund Rate of Squared Rate of Squared

Scenario

Return Deviation Return Deviation Recession

  • 7%

0.0324 17% 0.0100 Normal 12% 0.0001 7% 0.0000 Boom 28% 0.0289

  • 3%

0.0100 Expected return 11.00% 7.00% Variance 0.0205 0.0067 Standard Deviation 14.3% 8.2%

11.3 The Return and Risk for Portfolios

Note that stocks have a higher expected return than bonds and higher risk. Let us turn now to the risk-return tradeoff

  • f a portfolio that is 50% invested in bonds and 50%

invested in stocks.

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Portfolios

Rate of Return Scenario Stock fund Bond fund Portfolio squared deviation Recession

  • 7%

17% 5.0% 0.0016 Normal 12% 7% 9.5% 0.0000 Boom 28%

  • 3%

12.5% 0.0012 Expected return 11.00% 7.00% 9.0% Variance 0.0205 0.0067 0.0010 Standard Deviation 14.31% 8.16% 3.08%

The rate of return on the portfolio is a weighted average of the returns on the stocks and bonds in the portfolio:

S S B B P

r w r w r   %) 17 ( % 50 %) 7 ( % 50 % 5     

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Rate of Return Scenario Stock fund Bond fund Portfolio squared deviation Recession

  • 7%

17% 5.0% 0.0016 Normal 12% 7% 9.5% 0.0000 Boom 28%

  • 3%

12.5% 0.0012 Expected return 11.00% 7.00% 9.0% Variance 0.0205 0.0067 0.0010 Standard Deviation 14.31% 8.16% 3.08%

Portfolios

The expected rate of return on the portfolio is a weighted average of the expected returns on the securities in the portfolio.

%) 7 ( % 50 %) 11 ( % 50 % 9    

) ( ) ( ) (

S S B B P

r E w r E w r E  

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Rate of Return Scenario Stock fund Bond fund Portfolio squared deviation Recession

  • 7%

17% 5.0% 0.0016 Normal 12% 7% 9.5% 0.0000 Boom 28%

  • 3%

12.5% 0.0012 Expected return 11.00% 7.00% 9.0% Variance 0.0205 0.0067 0.0010 Standard Deviation 14.31% 8.16% 3.08%

Portfolios

The variance of the rate of return on the two risky assets portfolio is

BS S S B B 2 S S 2 B B 2 P

)ρ σ )(w σ 2(w ) σ (w ) σ (w σ   

where BS is the correlation coefficient between the returns

  • n the stock and bond funds.
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Rate of Return Scenario Stock fund Bond fund Portfolio squared deviation Recession

  • 7%

17% 5.0% 0.0016 Normal 12% 7% 9.5% 0.0000 Boom 28%

  • 3%

12.5% 0.0012 Expected return 11.00% 7.00% 9.0% Variance 0.0205 0.0067 0.0010 Standard Deviation 14.31% 8.16% 3.08%

Portfolios

Observe the decrease in risk that diversification offers. An equally weighted portfolio (50% in stocks and 50% in bonds) has less risk than either stocks or bonds held in isolation.

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Portfolo Risk and Return Combinations

5.0% 6.0% 7.0% 8.0% 9.0% 10.0% 11.0% 12.0% 0.0% 5.0% 10.0% 15.0% 20.0%

Portfolio Risk (standard deviation) Portfolio Return

% in stocks Risk Return

0% 8.2% 7.0% 5% 7.0% 7.2% 10% 5.9% 7.4% 15% 4.8% 7.6% 20% 3.7% 7.8% 25% 2.6% 8.0% 30% 1.4% 8.2% 35% 0.4% 8.4% 40% 0.9% 8.6% 45% 2.0% 8.8% 50.00% 3.08% 9.00% 55% 4.2% 9.2% 60% 5.3% 9.4% 65% 6.4% 9.6% 70% 7.6% 9.8% 75% 8.7% 10.0% 80% 9.8% 10.2% 85% 10.9% 10.4% 90% 12.1% 10.6% 95% 13.2% 10.8% 100% 14.3% 11.0%

11.4 The Efficient Set for Two Assets

We can consider other portfolio weights besides 50% in stocks and 50% in bonds.

100% bonds 100% stocks

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Portfolio Risk and Return Combinations

5.0% 6.0% 7.0% 8.0% 9.0% 10.0% 11.0% 12.0% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0%

Portfolio Risk (standard deviation) Portfolio Return

% in stocks Risk Return

0% 8.2% 7.0% 5% 7.0% 7.2% 10% 5.9% 7.4% 15% 4.8% 7.6% 20% 3.7% 7.8% 25% 2.6% 8.0% 30% 1.4% 8.2% 35% 0.4% 8.4% 40% 0.9% 8.6% 45% 2.0% 8.8% 50% 3.1% 9.0% 55% 4.2% 9.2% 60% 5.3% 9.4% 65% 6.4% 9.6% 70% 7.6% 9.8% 75% 8.7% 10.0% 80% 9.8% 10.2% 85% 10.9% 10.4% 90% 12.1% 10.6% 95% 13.2% 10.8% 100% 14.3% 11.0%

The Efficient Set for Two Assets

100% stocks 100% bonds

Note that some portfolios are “better” than others. They have higher returns for the same level of risk or less.

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Portfolios with Various Correlations

100% bonds

return 

100% stocks

 = 0.2  = 1.0  = -1.0

Relationship depends on correlation coefficient

  • 1.0 <  < +1.0

If  = +1.0, no risk reduction is possible

If  = –1.0, complete risk reduction is possible

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11.5 The Efficient Set for Many Securities

Consider a world with many risky assets; we can still identify the opportunity set of risk- return combinations of various portfolios.

return P

Individual Assets

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The Efficient Set for Many Securities

The section of the opportunity set above the minimum variance portfolio is the efficient frontier.

return P

minimum variance portfolio Individual Assets

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Diversification and Portfolio Risk

 Diversification can substantially reduce the

variability of returns without an equivalent reduction in expected returns.

 This reduction in risk arises because worse

than expected returns from one asset are offset by better than expected returns from another.

 However, there is a minimum level of risk that

cannot be diversified away, and that is the systematic portion.

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Portfolio Risk and Number of Stocks

Nondiversifiable risk; Systematic Risk; Market Risk Diversifiable Risk; Nonsystematic Risk; Firm Specific Risk; Unique Risk n  In a large portfolio the variance terms are effectively diversified away, but the covariance terms are not. Portfolio risk

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Risk: Systematic and Unsystematic

 A systematic risk is any risk that affects a large

number of assets, each to a greater or lesser degree.

 An unsystematic risk is a risk that specifically affects

a single asset or small group of assets.

 Unsystematic risk can be diversified away.  Examples of systematic risk include uncertainty

about general economic conditions, such as GNP, interest rates or inflation.

 On the other hand, announcements specific to a

single company are examples of unsystematic risk.

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Total Risk

 Total risk = systematic risk + unsystematic risk  The standard deviation of returns is a measure

  • f total risk.

 For well-diversified portfolios, unsystematic

risk is very small.

 Consequently, the total risk for a diversified

portfolio is essentially equivalent to the systematic risk.

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Optimal Portfolio with a Risk-Free Asset

In addition to stocks and bonds, consider a world that also has risk-free securities like T-bills.

100% bonds 100% stocks

rf return 

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11.7 Riskless Borrowing and Lending

Now investors can allocate their money across the T-bills and a balanced mutual fund.

100% bonds 100% stocks

rf return 

Balanced fund

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Riskless Borrowing and Lending

With a risk-free asset available and the efficient frontier identified, we choose the capital allocation line with the steepest slope.

return P rf

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11.8 Market Equilibrium

With the capital allocation line identified, all investors choose a point along the line—some combination of the risk-free asset and the market portfolio M. In a world with homogeneous expectations, M is the same for all investors. return P rf M

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Market Equilibrium

Where the investor chooses along the Capital Market Line depends on her risk tolerance. The big point is that all investors have the same CML.

100% bonds 100% stocks

rf return 

Balanced fund

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Risk When Holding the Market Portfolio

 Researchers have shown that the best measure

  • f the risk of a security in a large portfolio is

the beta (b)of the security.

 Beta measures the responsiveness of a

security to movements in the market portfolio (i.e., systematic risk).

) ( ) (

2 , M M i i

R R R Cov  b 

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Estimating b with Regression

Security Returns Return on market %

Ri = a i + biRm + ei Slope = bi

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The Formula for Beta

) ( ) ( ) ( ) (

2 , M i M M i i

R R R R R Cov     b  

Clearly, your estimate of beta will depend upon your choice of a proxy for the market portfolio.

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11.9 Relationship between Risk and Expected Return (CAPM)

 Expected Return on the Market:

  • Expected return on an individual security:

Premium Risk Market  

F M

R R ) ( β

F M i F i

R R R R    

Market Risk Premium

This applies to individual securities held within well- diversified portfolios.

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Expected Return on a Security

 This formula is called the Capital Asset

Pricing Model (CAPM):

) ( β

F M i F i

R R R R    

  • Assume bi = 0, then the expected return is RF.
  • Assume bi = 1, then

M i

R R 

Expected return on a security = Risk- free rate + Beta of the security × Market risk premium

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Relationship Between Risk & Return

Expected return b

) ( β

F M i F i

R R R R    

F

R

1.0

M

R

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Relationship Between Risk & Return

Expected return b

% 3 

F

R % 3

1.5

% 5 . 13 5 . 1 β 

i

% 10 

M

R

% 5 . 13 %) 3 % 10 ( 5 . 1 % 3     

i

R

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Questions?