Risk and Rates of ReturnStand-Alone Risk Portfolio Risk Risk and Return: CAPM/SML Chapter 8... What is investment risk?– Stand-alone risk – Portfolio risk earning a low or negative actu
Trang 1Risk and Rates of Return
Stand-Alone Risk Portfolio Risk Risk and Return: CAPM/SML
Chapter 8
Trang 2What is investment risk?
– Stand-alone risk
– Portfolio risk
earning a low or negative actual return.
negative returns, the riskier the investment.
Trang 3Probability Distributions
probability of each occurrence.
Expected Rate of Return
Rate of Return (%) 100
15 0
-70
Firm X
Firm Y
Trang 4Selected Realized Returns, 1926-2010
Source: Based on Ibbotson Stocks, Bonds, Bills, and Inflation: 2011 Classic
Yearbook (Chicago: Morningstar, Inc., 2011), p 32.
Trang 5Hypothetical Investment Alternatives
Trang 6Why is the T-bill return independent of the economy?
Do T-bills promise a completely risk-free return?
the economy.
return, as they are still exposed to inflation
Although, very little unexpected inflation is likely to occur over such a short period of time.
Trang 7How do the returns of High Tech and Collections
behave in relation to the market?
positive correlation This is typical.
and has a negative correlation This is unusual.
Trang 8Calculating the Expected Return
12.4%
(0.1)(45%) (0.2)(30%)
(0.4)(15%) (0.2)(-7%)
-27%) )(
1 0 ( rˆ
r P rˆ
return
of rate Expected
rˆ
N 1
i i i
=
+ +
+ +
Trang 9Summary of Expected Returns
High Tech has the highest expected return, and
appears to be the best investment alternative, but is it
really? Have we failed to account for risk?
Trang 10Calculating Standard Deviation
∑
=
−
= σ
σ
=
= σ
= σ
N 1
2
2
P ) rˆ r(
Variance
deviation Standard
Trang 11Standard Deviation for Each Investment
% 0 0
) 1 0 ( ) 5 5 5 5 (
) 2 0 ( ) 5 5 5 5 ( ) 4 0 ( ) 5 5 5 5 (
) 2 0 ( ) 5 5 5 5 ( ) 1 0 ( ) 5 5 5 5 (
P ) rˆ r(
bills - T
2 / 1
2
2 2
2 2
bills - T
N 1
2
= σ
− +
−
− +
−
= σ
Trang 12Comparing Standard Deviations
Trang 13Comments on Standard Deviation as a Measure of
Risk
stand-alone, risk.
• The larger σ i is, the lower the probability that actual
returns will be close to expected returns.
distribution of returns.
Trang 14Comparing Risk and Return
Security Expected Return, Risk, σ
Trang 15Coefficient of Variation (CV)
expected value, that shows the risk per unit of return.
rˆ return
Expected
deviation Standard
Trang 16Illustrating the CV as a Measure of Relative Risk
σ A = σ B , but A is riskier because of a larger probability of
losses In other words, the same amount of risk (as
measured by σ) for smaller returns.
0
Rate of Return (%) Prob.
Trang 17Risk Rankings by Coefficient of Variation
• High Tech, despite having the highest standard
deviation of returns, has a relatively average CV.
Trang 18Investor Attitude Towards Risk
require higher rates of return to encourage them to hold riskier securities.
on a risky asset and a riskless asset, which serves as compensation for investors to hold riskier
securities.
Trang 19Portfolio Construction: Risk and Return
invested in both High Tech and Collections
the returns of the portfolio’s component assets.
that a new probability distribution for the portfolio returns be constructed.
Trang 20Calculating Portfolio Expected Return
% 7 6
%) 0 1 ( 5 0
%) 4 12 ( 5 0 rˆ
rˆ w rˆ
: average weighted
a is rˆ
p
N 1
i i i p
p
= +
=
=
Trang 21An Alternative Method for Determining
Portfolio Expected Return
(9.5%) 0.20
(7.5%) 0.40
(3.0%) 0.20
(0.0%) 0.10
rˆ p
= +
+
+ +
=
Trang 22Calculating Portfolio Standard Deviation and CV
51
0
% 7 6
% 4
3 CV
% 4 3
6.7) -
(12.0 0.10
6.7) -
(9.5 0.20
6.7) -
(7.5 0.40
6.7) -
(3.0 0.20
6.7) -
(0.0 0.10
p
2 1
2 2 2 2 2
+
= σ
Trang 23Comments on Portfolio Risk Measures
• σ p = 3.4% is much lower than the σ i of either stock
(σ HT = 20.0%; σ Coll = 13.2%).
High Tech and Collections’ σ (16.6%).
return of component stocks, but lower than the average risk.
Trang 24General Comments about Risk
correlated with the market (i.e., ρ between 0 and 1).
risk
Trang 25Returns Distribution for Two Perfectly Negatively Correlated Stocks (ρ = -1.0)
Trang 26Returns Distribution for Two Perfectly Positively
-10
Portfolio MM’
0 15 25
-10
Trang 27Partial Correlation, ρ = +0.35
Trang 28Creating a Portfolio: Beginning with One Stock and
Adding Randomly Selected Stocks to Portfolio
would not be perfectly correlated with the existing portfolio.
relatively constant.
more stocks dissipates (after about 40 stocks), and for large stock portfolios, σ p tends to converge
to ≈ 20%
Trang 29Illustrating Diversification Effects of a Stock
Portfolio
Trang 30Breaking Down Sources of Risk
Stand-alone risk = Market risk + Diversifiable risk
that cannot be eliminated through diversification
Measured by beta.
stand-alone risk that can be eliminated through proper diversification.
Trang 31Failure to Diversify
(doesn’t diversify), would the investor be compensated for the extra risk they bear?
Trang 32Capital Asset Pricing Model (CAPM)
suggests that there is a Security Market Line (SML) that states that a stock’s required return equals the risk-free return plus a risk premium that reflects the stock’s risk after diversification.
r i = r RF + (r M – r RF )b i
is its contribution to the riskiness of a diversified portfolio.
Trang 33volatility relative to the market.
well-diversified portfolio.
Trang 34Comments on Beta
• If beta = 1.0, the security is just as risky as the
average stock.
• If beta > 1.0, the security is riskier than average.
• If beta < 1.0, the security is less risky than average.
Trang 35Can the beta of a security be negative?
market is negative (i.e., ρ i,m < 0).
would slope downward, and the beta would be negative.
Trang 36Calculating Betas
with how a stock is expected to move relative to the market in the future.
are forced to rely on historical data A typical approach to estimate beta is to run a regression of the security’s past returns against the past returns
of the market.
beta coefficient for the security
Trang 37Illustrating the Calculation of Beta
-5 -10
Trang 38Beta Coefficients for High Tech, Collections, and
Trang 39Comparing Expected Returns and Beta Coefficients
Trang 40The Security Market Line (SML): Calculating
Required Rates of Return
SML: r i = r RF + (r M – r RF )b i
r i = r RF + (RP M )b i
RP M = r M − r RF = 10.5% − 5.5% = 5.0%.
Trang 41What is the market risk premium?
compensate investors for assuming an average amount of risk.
market and investors’ degree of risk aversion.
suggest that it ranges between 4% and 8% per year.
Trang 42Calculating Required Rates of Return
Trang 43r High Tech
( >
) r rˆ
( =
) r rˆ
( <
) r rˆ
( =
) r rˆ ( <
Trang 44Illustrating the Security Market Line
Trang 45An Example:
Equally-Weighted Two-Stock Portfolio
and 50% invested in Collections.
each of the stock’s betas.
b P = w HT b HT + w Coll b Coll
b P = 0.5(1.32) + 0.5(-0.87)
b P = 0.225
Trang 46Calculating Portfolio Required Returns
average of each of the stock’s required returns.
r P = w HT r HT + w Coll r Coll
r P = 0.5(12.10%) + 0.5(1.15%)
r P = 6.625%
solve for expected return.
r P = r RF + (RP M )b P
r P = 5.5% + (5.0%)(0.225)
r P = 6.625%
Trang 47Factors That Change the SML
what would happen to the SML?
SML 1
r i (%)
SML 2
13.5 10.5 8.5 5.5
ΔI = 3%
Risk, b i
Trang 48Factors That Change the SML
the market risk premium to increase by 3%, what would happen to the SML?
Trang 49Verifying the CAPM Empirically
verification almost impossible.
other than the market risk premium, that must be considered.
Trang 50More Thoughts on the CAPM
risk and total risk Therefore, the SML may not produce a correct estimate of r i
r i = r RF + (r M – r RF )b i + ???
but betas are calculated using historical data A company’s historical data may not reflect investors’
expectations about future riskiness.