4/11/2010 PORTFOLIO RISK AND RETURN: THE TWO-ASSET CASE ATTAINABLE PORTFOLIOS: THE TWO ASSET-CASE Asset A Asset B Expected return, r hat 5% 8% 4% 10% Chapter 24. Tool Kit for Portfolio Theory, Asset Pricing Models, and Behavioral Finance EFFICIENT PORTFOLIOS (Section 24.1) portfolio invested in asset A. Since the total percents invested in the asset must add up to 1, (1-wA) is the percent of the portfolio invested in asset B. The expected return on the portfolio is the weighted average of the expected returns on asset A and asset B. It is: Standard deviation, s Using the equations above, we can find the expected return and standard deviation of a portfolio with different percents invested in each asset. B A AB A A 2 B 2 A 2 A 2 A p ) W 1 ( W 2 ) W 1 ( W s s s s s B ^ A A ^ A p ^ r ) w 1 ( r w r
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Michael C. Ehrhardt Page 1 04/08/2023
4/11/2010
PORTFOLIO RISK AND RETURN: THE TWO-ASSET CASE
ATTAINABLE PORTFOLIOS: THE TWO ASSET-CASE
Asset A Asset BExpected return, r hat 5% 8%
4% 10%
Chapter 24. Tool Kit for Portfolio Theory, Asset Pricing Models, and Behavioral Finance
EFFICIENT PORTFOLIOS (Section 24.1)
Suppose there are two assets, A and B. wA is the percent of the portfolio invested in asset A. Since the total percents invested in the asset must add up to 1, (1-wA) is the percent of the portfolio invested in asset B.
The expected return on the portfolio is the weighted average of the expected returns on asset A and asset B.
The standard deviation of the portfolio, sp, is not a weighted average. It is:
Standard deviation, s
Using the equations above, we can find the expected return and standard deviation of a portfolio with different percents invested in each asset.
We downloaded stock prices and dividends from http://finance.yahoo.com for General Electric using its ticker symbol, GE. We also downloaded data for the S&P 500 (^SPX) which contains most actively traded stocks, and the Fidelity Magellan mutual fund (FMAGX). We computed returns, as shown in Chapter 6. We also obtained the monthly rates on 3-month Treasury bills from the FRED II data base at the St. Louis Federal Reserve, http://research.stlouisfed.org.
rM, Market Return (S&P 500 Index) ri, GE Return
rp, Fidelity Magellan
Fund Return
rRF, Risk-Free Rate (Monthly Return on 3-Month T-Bill)
Excess market return (rM-rRF)
Excess stock return
(ri-rRF)
Excess portfolio return
(rp-rRF)
0% 2% 4% 6% 8% 10% 12%0%
5%
10%
= -1: /rAB Attainable Set of Risk Re- turn Combinations
Risk, sp
Expected return
B
A
D162
Mike Ehrhardt: We have adjusted this to reflect the large capital gains distribution in May 2006.
Using the AVERAGE function and the STDEV function, we found the average historical returns and standard deviations. (We converted these from monthly figures to annual figures. Notice that you must multiply the monthly standard deviation by the square root of 12, and not 12, to convert it to an annual basis.) These are shown in the rows above.
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We also use the CORREL function to find the correlation of the market with the other assets.
GE Analysis
GE Regression Results (See columns J-N) SUMMARY OUTPUTBeta
Coefficient 1.3744 1.374 Regression Statisticst statistic 7.84 Multiple R
Probability of t stat. 0.000% R SquareLower 95% confidence interval 1.02 Adjusted RUpper 95% confidence interval 1.73 Standard Er
Probability of t stat. 24.8% RegressionLower 95% confidence interval -0.03 ResidualUpper 95% confidence interval 0.01 Total
InterceptX Variable
Magellan Analysis
Magellan Regression Results (See columns J-N) SUMMARY OUTPUTBeta
Using the AVERAGE function and the STDEV function, we found the average historical returns and standard deviations. (We converted these from monthly figures to annual figures. Notice that you must multiply the monthly standard deviation by the square root of 12, and not 12, to convert it to an annual basis.) These are shown in the rows above.
Using the function Wizard for SLOPE, we found the slope of the regression line, which is the beta coefficient. We also use the function Wizard and the RSQ function to find the R-Squared of the regression.
Using the Chart Wizard, we plotted the GE returns on the y-axis and the market returns on the x-axis. We also used the menu Chart > Options to add a trend line, and to display the regression equation and R2 on the chart. The chart is shown below. We also used the regression feature to get more detailed data. These results are also shown below.
-30% -20% -10% 0% 10% 20% 30%
-30%
-20%
-10%
0%
10%
20%
30%
f(x) = 1.37442291807652 x − 0.00943802153613873R² = 0.571900259505067
Historic Realized Returnson the Market (%)
Historic Realized Returns
on GE (%)
-20% -10% 0% 10% 20%
-20%
-10%
0%
10%
20%
f(x) = 1.23994673597531 x + 0.0028965722635326R² = 0.876260867381232
Historic Realized Returnson the Market (%)
Historic Realized Returns
on Magellan (%)
H237
This calculation of the beta uses the slope function
H244
The calculation of the intercept uses the intercept function.
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Coefficient 1.2399 1.24 Regression Statisticst statistic 18.05 Multiple R
Probability of t stat. 0.0% R SquareLower 95% confidence interval 1.10 Adjusted RUpper 95% confidence interval 1.38 Standard Er
ObservatioIntercept
Coefficient 0.00290 0.00290 ANOVAt statistic 0.92
Probability of t stat. 36.4% RegressionLower 95% confidence interval 0.00 ResidualUpper 95% confidence interval 0.01 Total
InterceptX Variable
-20% -10% 0% 10% 20%
-20%
-10%
0%
10%
20%
f(x) = 1.23994673597531 x + 0.0028965722635326R² = 0.876260867381232
Historic Realized Returnson the Market (%)
Historic Realized Returns
on Magellan (%)
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The Market Model vs. CAPM
(See columns J-N) SUMMARY OUTPUTBeta
Coefficient 1.3725 1.373 Regression Statisticst statistic 7.72 Multiple R
Probability of t stat. 0.0% R SquareLower 95% confidence interval 1.01 Adjusted RUpper 95% confidence interval 1.73 Standard Er
ObservatioIntercept
Coefficient -0.00844 ANOVAt statistic -1.03
Probability of t stat. 30.7% RegressionLower 95% confidence interval -0.02 ResidualUpper 95% confidence interval 0.01 Total
InterceptX Variable
Table 24-3 Regression Results for Calculating Beta
t Statistic
We have been regressing the stock (or portfolio) returns against the market returns. However, CAPM actually states that we should regress the excess stock returns (the stock return minus the short-term risk free rate) against the excess market returns (the market return minus the short-term risk free rate). We show the graph for such a regression below. Notice that it is virtually identical to the market model regression we used earlier for GE. Since it usually doesn't change the results whether we use the market model to estimate beta instead of the CAPM model, we usually use the market model.
CAPM (excess return) Model Regression Results
Regression Coefficient
Probability of t Statistic
Lower 95% Confidence
Interval
Upper 95% Confidence
Interval
Panel a: General Electric (Market model)
-30% -20% -10% 0% 10% 20% 30%
-30%
-20%
-10%
0%
10%
20%
30%
f(x) = 1.37250955725169 x − 0.00844177561216085R² = 0.564108579100218
df SS MS F Significance F1 0.1525396824 0.1525397 325.74982 1.672E-22
46 0.0215405351 0.000468347 0.1740802176
Coefficients Standard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%Upper 95.0%0.00289657226353 0.0031606588 0.9164457 0.3642129 -0.003466 0.0092586 -0.003466 0.00925861.23994673597531 0.0687006647 18.048541 1.672E-22 1.1016595 1.378234 1.1016595 1.378234
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SUMMARY OUTPUT
Regression Statistics0.7510716204865
0.564108579100220.554632678645880.05532185501662
48
df SS MS F Significance F1 0.1821946765 0.1821947 59.530868 7.789E-10
46 0.1407833516 0.003060547 0.322978028
Coefficients Standard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%Upper 95.0%-0.00844177561216 0.0081713295 -1.033097 0.3069596 -0.02489 0.0080063 -0.02489 0.00800631.37250955725169 0.1778870241 7.7156249 7.789E-10 1.0144416 1.7305776 1.0144416 1.7305776
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LINEST Results: y=mx+bRead me.Slope (m) 1.2455775652 0.0036019 Intercept (b)Std. Error of m 0.0693868854 0.0031873 Std. Error of b
0.8750833108 0.0215789 Std. Error of yF 322.24543068 46 Degrees of freedomSS Regression 0.1500536221 0.0214199 SS Residual
t-stat for slope 17.951195801 1.1300673 t-stat for interceptProb of t 2.080485E-22 0.2643061 Prob of t
R2
K349
The LINEST function returns several statistics from a regression. The results are shown in the shaded box. Using these results, we calculated the t-statistics and the probability of the t-statistic, as shown in red.
SECTION 24.1SOLUTIONS TO SELF-TEST
Stock A: expected return 10%Stock A: standard deviation 35%Stock B: expected return 15%Stock B: standard deviation 45%Correlation between A and B 0.30
% portfolio in A% portfolio in B 60%
40%
Portfolio: expected return 12.0%Portfolio: standard deviation 31.5%
Stock A has an expected return of 10 percent and a standard deviation of 35 percent. Stock B has an expected return of 15 percent and a standard deviation of 45 percent. The correlation coefficient between Stock A and B is 0.3. What are the expected return and standard deviation of a portfolio invested 60 percent in Stock A and 40 percent in Stock B?
Stock A has an expected return of 10 percent and a standard deviation of 35 percent. Stock B has an expected return of 15 percent and a standard deviation of 45 percent. The correlation coefficient between Stock A and B is 0.3. What are the expected return and standard deviation of a portfolio invested 60 percent in Stock A and 40 percent in Stock B?
SECTION 24.4SOLUTIONS TO SELF-TEST
Standard deviation of Park 60%Standard deviation of market 20%Correlation between Park and market 0.40
Park's beta 1.20
The standard deviation of stock returns of Park Corporation is 60 percent. The standard deviation of the market return is 20 percent. If the correlation between Park and the market is 0.40, what is Park's beta?
The standard deviation of stock returns of Park Corporation is 60 percent. The standard deviation of the market return is
SECTION 24.7SOLUTIONS TO SELF-TEST
Risk-free rate 5%
10%
15%
0.50
1.30
Brown's required return 20.50%
An analyst has modeled the stock of Brown Kitchen Supplies using a two-factor APT model. The risk-free rate is 5 percent, the required return on the first factor (r1) is 10 percent and the required return on the second factor (r2) is 15 percent. If bi1 = 0.5 and bi2 = 1.3, what is Brown's required return?
r1
r2
b1
b2
An analyst has modeled the stock of Brown Kitchen Supplies using a two-factor APT model. The risk-free rate is 5 ) is 10 percent and the required return on the second factor (r2) is 15
SECTION 24.8SOLUTIONS TO SELF-TEST
Risk-free rate 5.0%
11.0%
3.2%
4.8%
0.0%
0.70
1.20
0.70
Required return 16.40%
An analyst has modeled the stock of a company using a Fama-French three-factor model. The risk-free rate is 5 percent, the required market return is 11 percent, the risk premium for small stocks (rSMB) is 3.2 percent, and the risk premium for value stocks (rHML) is 4.8 percent. If ai = 0, bi = 0.7, ci = 1.2, and di = 0.7, what is the stock's required return?
rM
rSMB
rHML
ai
bi
ci
di
An analyst has modeled the stock of a company using a Fama-French three-factor model. The risk-free rate is 5 SMB) is 3.2 percent, and the risk