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Risk and Return and the Capital Asset Pricing Model (CAPM)
For 9.220, Chapter
Risk Return & The Capital Asset Pricing Model (CAPM)
To make “good” (i.e., value-maximizing) financial decisions, one must understands the relationship between risk and return
We accept the notion that rational investors like returns and dislike risk
Consider the following proxies for return and risk: Expected return - weighted average of the distribution of possible returns in the future.Variance of returns - a measure of the dispersion of the distribution of possible returns in the future.
Expected (Ex Ante) Return
An ExampleConsider the following return figures for the following year on stock XYZ under three alternative states of the economy
Pi Ri Probability Return in
State of Economy of state i state i
+1% change in GNP 0.25 -5%
+2% change in GNP 0.50 15%
+3% change in GNP 0.25 35%
SS
S
iii PRPRPRPRRE
2211
1][
where, Ri = the return in state i (there are S states)
Pi = the probability of return i (state i)
Q. Calculate the expected return on stock XYZ for the next year
A.
Expected Returns - An Example
Or, use the formula:
Use the following tablePi Ri Pi Ri
Probability Return inState of Economy of state i state i
State 1: +1% change in GNP 0.25 -5% - 1.25%
State 2: +2% change in GNP 0.50 15% 7.50%
State 3: +3% change in GNP 0.25 35% 8.75%
Expected Return=15.00%
%15
%)3525.0(%)1550.0(%))5(25.0(
][ 332211
3
1
PRPRPRPRREi
ii
Variance and Standard Deviation of Returns
An Example
Recall the return figures for the following year on stock XYZ under three alternative states of the economy
Pi Ri
Probability Return inState of Economy of state i state i
State 1: +1% change in GNP 0.25 -5%
State 2: +2% change in GNP 0.50 15%
State 3: +3% change in GNP 0.25 35%
Expected Return = 15.00%
where, Ri = the return in state i (there are S states)
Pi = the probability of return i (state i) and
= the standard deviation of the return:
2222
211
1
22
][][][
][)(V
RERPRERPRERP
RERPRar
SS
S
iii
2
Q. Calculate the variance and standard deviation of returns on stock XYZ
A.
Variance & Standard Deviation - An Example
Or, use the formula:
Standard deviation:
Use the following table Pi
X (Ri - E[R])2.= Pi(Ri - E[R])2
Probability State of Economy of state i
+1% change in GNP 0.25 0.04 0.01
+2% change in GNP 0.50 0.00 0.00
+3% change in GNP 0.25 0.04 0.01
Variance of Return =0.02
3
1
22 ][i
ii RERP
%202.0
)15.035.0(25.0)15.015.0(5.0)15.005.0(25.0 222
%14.141414.002.02
Q. Calculate the expected return on assets A and B for the next year, given the following distribution of returns:
A. Expected returns E(RA) = _____
E(RB) = _____
State of the Probability Return on Return oneconomy of state asset A asset B
Boom 0.40 30% -5%Bust 0.60 -10% 25%
Portfolio Return and Risk
Q. Calculate the variance of the above assets A and B
A. Variances Var(RA) = ____
Var(RB) = _____
Q. Calculate the standard deviations of the above assets A and B
A. Standard DeviationsA = ____
B = ____
Expected Return on a PortfolioThe Expected Return on Portfolio p with N securities
where,E[Ri]= expected return of security i
Xi = proportion of portfolio's initial value invested in security i
Example - Consider a portfolio p with 2 assets: 50% invested in asset A
and 50% invested in asset B. The Portfolio expected return is given by:
E(RP) = XAE(RA) + XBE(RB)
= (0.50x0.06) + (0.50x0.13) = 0.095 = 9.5%
][...][][][][ 22111
NN
N
iiip REXREXREXREXRE
Returns and Risk for Portfolios - 2 Assets
Variance of a PortfolioThe variance of portfolio p with two assets (A and B)
where,
Standard Deviation of a PortfolioThe standard deviation of portfolio p with two assets (A and B)
ABBABBAA
pp
XXXX
RVar
2
)(2222
2
S
iBiBAiAiBAAB RERRERPRRCOV
1,, ][][),(
5.02222 2
)(
ABBABBAA
pp
XXXX
RVar
Q. Calculate the variance of portfolio p (50% in A and 50% in B)
A. Recall: Var(RA) = 0.0384, and Var(RB) = 0.0216
First, we need to calculate the covariance b/w A and B:
= 0.40x(0.30-0.06)(-0.05-0.13) + 0.60x(-0.10-0.06)(0.25-0.13)
= - 0.0288The variance of portfolio p
Q. Calculate the standard deviations of portfolio pA. Standard Deviations
p = (0.0006)1/2 = 0.0245 = 2.45%
2
1,, ][][),(
iBiBAiAiBAAB RERRERPRRCOV
0006.0
0.0288) -(5.05.020.02165.00384.05.0
2
)(
22
2222
2
ABBABBAA
pp
XXXX
RVar
Note: E(RP) = XAE(RA) + XBE(RB) = 9.5%, but
Var(Rp) =0.0006 < XAVar(RA) + XBVar(RB)
= (0.50 x 0.0384) + (0.50 x 0.0216) = 0.03 This means that by combining assets A and B into portfolio p,
we eliminate some risk (mainly due to the covariance term) Diversification - Strategy designed to reduce risk by
spreading the portfolio across many investments
Two types of Risk:Unsystematic/unique/asset-specific risks - can be diversified away
Systematic or “market” risks - can’t be diversified away
In general, a well diversified portfolio can be created by randomly combining 25 risky securities into a portfolio (with little (no) cost).
The Effect of Diversification on Portfolio Risk
Portfolio Diversification
Average annualstandard deviation (%)
Number of stocksin portfolio
Diversifiable (nonsystematic) risk
Nondiversifiable(systematic) risk
49.2
23.9
19.2
1 10 20 30 40 1000
Diversifiable risk is also called unique risk, firm-specific risk, or unsystematic risk. Since we can get rid of this risk through portfolio diversification, we don’t care too much about it.
This is the risk we care about, as we cannot get rid of it.
Beta and Unique Risk Total risk = diversifiable risk + market risk
We assume that diversification is costless, thus diversifiable (nonsystematic) risk is irrelevant
Investors should only care about non-diversifiable (systematic) market risk
Market risk is measured by beta - the sensitivity to market changes
Example: Return (%)
State of the economy TSE300 BCE
Good 18 26
Poor 6 -4
Beta and Market Risk
300TSEr
BCEr
• (-4%, 6%)
• (26%, 18%)
Slope = = 2.5
The Characteristic Line
Interpretation: Following a change of +1% (-1%) in the market return, the return on BCE will change by +2.5% (-2.5%)
NOTE: If the security has a -ve cov w/ TSE 300 =>
5.21230
%6%18%)4(%26
,,
,,
badgood
badgood
TSETSE
BCEBCEBCE rr
rr
0BCE
Beta and Unique Risk Market Portfolio - Portfolio of all assets in the economy.
In practice a broad stock market index, such as the S&P/TSX, is used to represent (proxy) the market
Beta ()- Sensitivity of a stock’s return to the return on the market portfolio
2m
imi
Covariance of security i’s return with the market return
Variance of market return
Markowitz Portfolio Theory
We saw that combining stocks into portfolios can reduce standard deviation
Covariance, or the correlation coefficient, make this possible:The standard deviation of portfolio p (with XA in A and XB in B):
Note: , or
Thus,
2122222ABBABBAAp XXXX
BA
ABAB
BAABAB
21)(22222BAABBABBAAp XXXX
Markowitz Portfolio Theory - An Example
Consider assets Y and Z, with
Consider portfolio p consisting of both Y and X. Then, we have:Expected Return of p
Standard Deviation of p
21)(22222ZYYZZYZZYYp XXXX
10247.00105.0 , %20][ Y YRE
012.0000144.0 , %4.14][ Z ZRE
][][][ ZZYYp REXREXRE
%4.14%20 ZY XX
21012.010247.02000144.00105.0 22YZZYZY XXXX
Look at the next 3 cases (for the correlation coefficient):
Where
ExpectedReturn ofPortfolio
Standard deviationof a portfolio
Portfolio YZ = -1
YZ = +1 YZ = 0
1 18.6% 7.38% 7.98% 7.69%2 17.2 4.52 5.72 5.163 15.8 1.66 3.46 2.72
Portfolio1 2 3
YX 0.750.500.25ZX 0.250.500.75
11 ijgeneralIn
p
][ pRE
20.0%
18.6%
17.2% 15.8%
14.4% .
.
. . .
10.247% 7.69% 1.2%
Y
Z
5.16% 2.72%
The Shape of the Markowitz Frontier - An Example
Rho = -1
Rho = +1
Rho = 0
Efficient Sets and Diversification
E(R) = -1
-1 <
= 1
The Efficient (Markowitz) FrontierThe 2-Asset Case
Stock Z
Stock Y
Standard Deviation
Expected Return (%)
75% in Z and 25% in Y
Expected Returns and Standard Deviations vary given different weighted combinations of the two stocks
The Feasible Set is on the curve Z-Y
The Efficient Set is on the MV-Y segment only
Minimum Variance Portfolio (MV)
MV
Standard Deviation
Expected Return (%)
The Efficient (Markowitz) FrontierThe Multi-Asset Case
Each half egg shell represents the possible weighted combinations for two assets
The Feasible Set is on and inside the envelope curve
The composite of all asset sets (envelope), and in particular the segment MV-U constitutes the efficient frontier
Minimum Variance Portfolio (MV)
MV
U
Efficient Frontier
Return
Risk
Goal is to move UPWARD and to
the LEFT.
We assume that investors are rational (prefer more to less) and risk averse
Return
Risk
Low Risk
High Return
High Risk
High Return
Low Risk
Low Return
High Risk
Low Return
Which Asset Dominates?
Short Selling
Definition
The sale of a security that the investor does not own. How?
Borrow the security from your broker and sell it in the open market.
Cash Flow
At the initiation of the short sell, your only cash flow, is the proceeds from selling the security.
Closing the Short
Eventually you will have to buy the security back in order to return it to the broker.
Cash Flow
At the elimination of the short sell, your only cash flow, is the price you have to pay for the security in the open market.
Short Selling A Treasury Bill - An Example
The Security -- A Treasury bill is a zero-coupon bond issued by the Government, with a face value of $100, and with a maturity no longer than one year.
If the yield on a 1-year T-bill is 5%, then its current price is: 100/1.051 = $95.24
The Short sell -- Borrow the 1-year T-bill from your broker and sell it in the open market for $95.24.
Cash Flow-- The short sell proceeds: $95.24
Closing the Short -- At the end of the year - buy the T-bill back (an instant before it matures) in order to return it to the broker
Cash Flow -- The price you have to pay for the T-bill in the open market an instant before maturity (in 1 year): 100/1.050 = $100
Risk-Free Borrowing -- This transaction is equivalent to borrowing $95.24 for one year, and paying back $ 100 in a year. The interest rate is: (100/95.24) -1 = 5% = the 1-year T-bill yield
A+Lending
Risk-free borrowing and lending
Consider combinations of the risk-free asset with a portfolio, Z, on the Efficient Frontier.
With a risk-free asset available, taking a long f position (positive portfolio weight in f) gives us risk-free lending combined with A.
Taking a short f position (negative portfolio weight in f) gives us risk-free borrowing combined with A.
P
E[R]
Rf
A+Borrowing
Portfolio Z
Risk-free borrowing and lending
Which combination of f and portfolios on the Efficient Frontier are best?
Portfolios along the line tangent to the Efficient Frontier dominate everything else. Now, the only efficient risky portfolio on the Markowitz Efficient Frontier is Portfolio M.
P
E[R]
Rf
What is the optimal strategy for every investor?
M
•Lending or Borrowing at the risk free rate (Rf) allows us to exist outside the Markowitz frontier.
•We can create portfolio A by investing in both Rf (lending money) and M
•We can create portfolio B by short selling Rf (borrowing money) and holding M
The Capital Market Line (CML)The Efficient Frontier With Risk-Free Borrowing and Lending
Expected returnof portfolio
Standarddeviation of
portfolio’s return.
Risk-freerate (Rf )
A
M.B
..
CML
CML is the new efficient frontier
Note all securities are in M, and all investors have M in their portfolios since they are all
on the new efficient frontier - CLM - investing in Rf and M.
ThereforeInvestors are only concerned with and , and with the contribution of each security i to M, in terms of contribution of systematic risk (measured by beta) contribution of expected returnAccording to the CAPM:
where,
m][ mRE
The Capital Asset Pricing Model (CAPM)
fmifi RRERRE ][][
1: 2
2
2
22
m
m
m
mmm
m
i
m
miim
m
im
NOTE
imi
The Security Market Line (SML)
The Capital Asset Pricing Model (SML):
Note:(1) -> entire risk of i is diversified away in M
(2) -> security i contributes the average risk of M
fiii RRE ][0but 0
][][1 mii RERE
][ iRE
i
. M
SML
1
][ mRE
fR
fmifi RRERRE ][][
The Security Market Line (SML)
The SML is always linear
CML - just for efficient portfolios
SML - for any security and portfolio (efficient or inefficient)
The Security Market Line (SML)
Example:Consider stocks A and B, with: a = 0.8, b = 1.2,
let E[Rm] = 14% and Rf = 4%. By the SML:
E[Ra] = 4% + 0.8[14% - 4%] = 12%
E[Rb] = 4% + 1.2[14% - 4%] = 16%
Consider a portfolio p, with 60% invested in A and 40% invested in B, then:
E[Rp] = XaE[Ra] + XbE[Rb] = 0.6x12% + 0.4x16% = 13.6%
And,p = Xa a + Xb b = 0.6x0.8 + 0.4x1.2 = 0.96
By the CAPM: E[rp] = 4% + 0.96[14% - 4%] = 13.6%
* If A and B are on the SML => p is also on SML
Summary and Conclusions The CAPM is a theory that provides a relation between
expected return and an asset’s risk. It is based on investors being well-diversified and
choosing non-dominated portfolios that consist of combinations of f (risk free security) and M.
While the CAPM is useful for considering the risk/return tradeoff, and it is still used by many practitioners, it is but one of many theories relating return to risk (and other factors) so it should not be regarded as a universal truth.