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a
0.07248
b
0.00386
c
0.26921
d
0.00939
e
0.05175
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- You run a regression for the Tesla stock return on a market index to estimate the SML equation and find the following Excel output: Multiple R R-Square Adjusted R-Square Standard Error Observations Intercept Market = 0.28 0.25 0.02 40.01 60 13.35 and 0.97 0.8 and 0.1 0.28 and 0.25 0.26 and 1.36 0.2 and 0.75 Coefficients Standard Error t-Stat p-Value 0.2 0.75 The resulting SML equation for Laternios is given by: Er Laternios] 13.35 0.26 0.80 0.97 1.36 0.10 + __ × (E[rM] - rf)Consider information given in the table below and answers the question asked thereafter: State Probability return on stock A Return on stock B A 0.15 10% 9% B 0.15 6% 15% C 0.10 20% 10% D 0.18 5% -8% E 0.12 -10% 20% F 0.30 8% 5% Calculate covariance and coefficient of correlation between the returns of thestocks A and B.v. Now suppose you have $100,000 to invest and you want to a hold a portfoliocomprising of $45,000 invested in stock A and remaining amount in stock B.Calculate risk and return of your portfolio.The returns on share A follow the market model with coefficients CA = 0.01, BA = 1.25. If at time t, K MT = 0.02 and the actual return on share A is 0.025, calculate EAt (the error term). 2. %3D %3D
- Expected return is Probability Stock Retun 0.3 0.06 0.55 0.15 0.15 0.18d. Interpret your results in (c) above, assuming that the historical average return of 8.5% from the stock is a good benchmark. e. Critically evaluate the strengths and weaknesses of applying the implied rate of return from the RIVM as a proxy of the expected return.A B COV A Return SD 0.05 0.25 0.17 0.18 0.008 4 0.04 Rf this is a minimum variance question what is the weight of stock A what is the weight of stock b what is the return of the portfolio what is the risk of the portfolio
- Required Rate of ReturnSuppose rRF 5 5%, rM 5 10%, and rA 5 12%.a. Calculate Stock A’s beta.b. If Stock A’s beta were 2.0, then what would be A’s new required rate ofreturn?Given the following information below for Stock A, calculate its standard deviation 6. Where: wwwww pi Probability of some state į a (R-R)'xp mean il Ri = Expected return in state į Rmsa Expected return Economic State i pi Probability of some statei Ri= Expected return in statei Weighted Ri for each State .39 22% Вoom Normal 11% 60 Bust 21 3% Rmean (Sum Column for Stock A Expected Returnl Bring the answer you calculated for Rmean Expected return above and enter it in the correct column below the finish calculating the Standard Deviation. (Ri-Rmean* x pi State i (Ri-Rmean) (Ri - Bmean) pi= Ri = Rmean= 22% 39 Boom Normal 60 11% Bust 3% 21 Sum of Column = Variance) = Square Root of Variance Standard DeviationConsider information given in the table below and answers the question asked thereafter: State Probability return on stock A Return on stock B A 0.15 10% 9% B 0.15 6% 15% C 0.10 20% 10% D 0.18 5% -8% E 0.12 -10% 20% F 0.30 8% 5% i. Calculate expected return on each stock? On the basis of this measure, which stockyou will choose?ii. Calculate standard deviation of the returns on each stock? On the basis of thismeasure, which stock you will choose?iii. Calculate coefficient of variance of the returns on each stock? On the basis of thismeasure, which stock you will choose?
- Consider the following regression Pt * - Pt = .07(1.4) + .4*Pt (3.6) + et where Pt * is Shiller’s ex post price of a stock, Pt is the actual price and t-ratios are in brackets. Explain in words and analytically what the dependent variable Pt * - Pt should be equal to under the efficient markets theory. Hence interpret the regression. Does it support the efficient markets theory?The slope of a regression line when the return on an individual stock's returns are regressed on the return on the market portfolio, would be: OAR BR-₁ B OC none of the answers listed here. ODO imThe index model has been estimated using historical excess return data for stocks A, B, and C, with the following results: RA = 0.02 + 0.9RM + eA RB = 0.04 + 1.2RM + eB RC = 0.10 + 1.ORM + eC OM oM = 0.22 o(eA) = 0.21 o(eB ) = 0.11 o(eC ) = 0.23 a. What are the standard deviations of stocks A, B, and C? b. Break down the variances of stocks A, B, and C into their systematic and firm-specific components. c. What is the covariance between the returns on each pair of stocks? d. What is the covariance between each stock and the market index?