Title: The Capital Asset Pricing Model CAPM and its Extensions
1Lecture 4
- The Capital Asset Pricing Model (CAPM) and its
Extensions
2Contribution of a Stock to the Portfolio Risk
- A stocks contribution to the risk of a
diversified portfolio does not depend on its own
variance. - Its contribution to portfolio risk is through the
covariance of the stock with the other stocks in
the portfolio. - Decomposition of the market returns variance
into the weighted average of covariance of
individual assets return with the markets
return - Covariance is a linear operator
3What is the Beta?
- Beta is a scaled covariance of an assets
return with the market portfolios return. - The average of betas for all assets is 1.
- Beta can also be linked with the co-efficient of
correlation - Beta standard deviation of the assets return /
standard deviation of market return, multiplied
by the coefficient of correlation between the
two.
4Intuitive Explanation of the Capital Asset
Pricing Model (CAPM)
- Investors will only want to hold a security in
their portfolio if it provides a reasonable
amount of reward (i.e., the marginal excess
return) in return for the risk it adds to the
portfolio. - This risk is characterized by the beta.
- Well term this risk the systematic risk or
market risk. - The ratio of marginal excess return to marginal
risk must be the same for all assets in
equilibrium.
5An Example How does the market achieve the
equilibrium?
- Asset A has an expected return of 12 and a beta
of 1.40. Asset B has an expected return of 8
and a beta of 0.80. Are these two assets valued
correctly relative to each other if the risk-free
rate is 5? - NO! The reward-to-systematic risk ratio is 0.05
for A, 0.0375 for B. - Please note this reward-to-systematic risk
ratio is different from the Sharpe ratio. - Asset B offers insufficient return for its level
of systematic risk, relative to A. Bs price is
too high, therefore it is overvalued (or A is
undervalued). - What should investors do?
6Capital Asset Pricing Model
- It has to be
- Expected return of stock Risk-free rate Beta
x Risk premium of market portfolio.
7Assumptions needed for the CAPM
- Individual investors are price takers.
- Single-period investment horizon.
- Investments are limited to traded financial
assets. - No taxes and transaction costs.
- Information is costless and available to all
investors. - Investors are rational mean-variance optimizers.
- There are homogeneous expectations.
8Security Market Line (SML)
- SML is the line depicting the relationship
between the assets expected return and its beta.
- The slope of the SML, E(rm) rf, measures the
price of risk. - If you graph the actual average return-beta
combination of assets, most of them deviate from
the SML. The difference is called alpha.
9Security Market Line
10Disequilibrium Example
- Suppose a security with a ? of 1.25 is offering
expected return of 15 - According to SML, it should be 13
- The (Jensens) alpha of this security is 2.
Thus, this security is under-priced offering
too high of an expected rate of return for its
level of risk
11Disequilibrium Example
a 2
12The Usefulness of Alpha
- An asset with a negative alpha calculated based
on past performance means this asset
underperformed in the market. - Stocks with a forecasted positive alpha in the
near future should be bought, if you trust the
forecast. - On average, an assets return/beta relationship
should follow the SML in the long term. - This may imply mean-reverting observations.
13Portfolios Beta
- A portfolios beta is simply the weighted-average
of its assets betas. - This is because covariance is a linear operator.
14Blacks Zero Beta Model
- Absence of a risk-free asset
- Combinations of portfolios on the efficient
frontier are efficient - All frontier portfolios have companion portfolios
that are uncorrelated with them - Returns on individual assets can be expressed as
linear combinations of efficient portfolios
15Blacks Zero Beta Model Formulation
- P and Q are minimum-variance portfolios. For an
arbitrary asset i,
16Illustration of Efficient Portfolios and Zero
Companions
17Zero Beta Market Model
- Choose M as P, Z(M) as Q, then
- This is the CAPM with E(rz (m)) replacing rf.
- Portfolio Z(m) has a beta of zero.
18Zero Beta Model Applications
- (No riskfree borrowing) The mutual funds
theorem will no longer be valid. Less risk
averse people will invest in risk free asset and
another efficient portfolio which is not the
tangent portfolio. The CAPM should be changed
accordingly. - (Differential borrowing and lending rates) We
will have a kinked CAL. - Implications Not everyone holds a combination of
riskfree and the market portfolio anymore.
19Liquidity A Recap
- Liquidity how ease to trade a security. If
transaction costs are high, then liquidity will
be low. - Trading costs
- Bid-ask spread ? This is considered the major
part of trading costs which will vary with the
size of the firm. Stocks of smaller firms have
bigger bid-ask spreads - Commissions, taxes
- Implicit market impact costs
20CAPM and Liquidity
- Illiquidity Premium If a security is illiquid,
then investors demand a higher expected rate of
return for this security. - Liquidity is related to the length of holding
period. - Liquidity and the size effect.
- Research supports a premium for illiquidity
- Amihud and Mendelson
21CAPM with a Liquidity Premium
f (ci) liquidity premium for security i f (ci)
increases at a decreasing rate, a concave
function. (f gt 0, f lt 0). ci is the liquidation
cost, which is partly determined by the bid-ask
spread of the security.
22Index Model and Factor Model
- We are not able to construct a true market
portfolio in reality. Instead, we use a stock
market index as a substitute for the market
portfolio. - Or, we could say that all securities returns are
affected by one single macro factor. - Employing the index model makes it easier for
security analysts to do the analysis - Reduce drastically the number of parameters
needed to be estimated
23Liquidity and Average Returns
Average monthly return()
Bid-ask spread ()
24Single Factor Model
- Assumption a broad market index is the common
factor - ri E(ri) ßiF ei
- ßi sensitivity of an assets return to the
factor - F some macro factor in this case F is
unanticipated movement - F is commonly related to security returns
- Multi-factor models will be addressed in the
future.
25Single Index Model
Risk Prem
Market Risk Prem
or Index Risk Prem
the stocks expected return if the markets
excess return is zero
ai is zero under the CAPM.
a
i
(rm - rf) 0
ßi(rm - rf) the component of return due to
movements in the market index b has the same
expression as in the CAPM.
ei firm specific component, not due to market
movements. This is an important assumption.
26Using the Text Example from Table 10-1
Excess Mkt. Ret.
Excess GM Ret.
Jan. Feb. . . Dec Mean Std Dev
5.41 -3.44 . . 2.43 -.60 4.97
7.24 .93 . . 3.90 1.75 3.32
27Regression Results
a
rGM - rf ß(rm - rf)
a
ß
-2.590 (1.547)
1.1357 (0.309)
Estimated coefficient Std error of
estimate Variance of residuals 12.601 Std dev
of residuals 3.550 R2 0.575
28Beta Coefficients for Selected Australian
Companies (as of 2/8/2005, FinAnalysis)
29Components of Risk
- Market or systematic risk risk related to the
market portfolio - However, it is not possible to get the beta under
this definition, so the beta is obtained under
the index model. - Unsystematic or firm specific risk risk not
related to the market portfolio or market index - Total risk Systematic Unsystematic
30Measuring Components of Risk
- ?i2 ?i2 ?m2 ?2(ei)
- where
- ?i2 total variance
- ?i2 ?m2 systematic variance
- ?2(ei) unsystematic variance
31Examining Percentage of Variance
- Running a market model regression first, then we
can decompose the total variance of a stocks
return. - Total Risk Systematic Risk Unsystematic Risk
- Systematic Risk/Total Risk ?2 R2
- ßi2 ? m2 / ?2 ?2 ? of systematic
risk - ?i2 ?m2 /( ?i2 ?m2 ?2(ei)) ?2
32Risk Reduction with Diversification
St. Deviation
Unique Risk s2(eP)s2(e) / n
bP2sM2
Market Risk
Number of Securities