Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 7%, and the market's average return was 14%. Performance is measured using an index model regression on excess returns. Index model regression estimates R-square Residual standard deviation, o(e) Standard deviation of excess returns Alpha Information ratio Sharpe ratio iv Treynor measure Stock A Stock A Stock # 1% 1.2(Mrg) 2% 0.8(M- Required: a. Calculate the following statistics for each stock: (Do not round intermediate calculations. Round your answers to 4 decimal places.) % 0.635 11.3% 22.6% Stock B 0.466 20.1% 26.9%

Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 7%, and the market's average return was 14%. Performance is measured using an index model regression on excess returns. Index model regression estimates R-square Residual standard deviation, o(e) Standard deviation of excess returns Alpha Information ratio Sharpe ratio iv Treynor measure Stock A Stock A Stock # 1% 1.2(Mrg) 2% 0.8(M- Required: a. Calculate the following statistics for each stock: (Do not round intermediate calculations. Round your answers to 4 decimal places.) % 0.635 11.3% 22.6% Stock B 0.466 20.1% 26.9%

Essentials Of Investments

11th Edition

ISBN:9781260013924

Author:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.

Publisher:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.

Chapter1: Investments: Background And Issues

Section: Chapter Questions

Problem 1PS

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Consider the two (excess return) index-model regression results for stocks A and The risk-free rate over the period was 6%, and the market’s average return was 14%. Performance is measured using an index model regression on excess returns. Stock A Stock B Index model regression estimates 1% + 1.2(rM – rf ) 2% + 0.8(rM – rf ) R-square 0.576 0.436 Residual standard deviation, σ(e) 10.3% 19.1% Standard deviation of excess returns 21.6% 24.9% Calculate the following statistics for each stock: Alpha Information ratio Sharpe ratio Treynor measure Which stock is the best choice under the following circumstances? This is the only risky asset to be held by the investor. This stock will be mixed with the rest of the investor’s portfolio, currently composed solely of holdings in the market-index fund. This is one of many stocks that the investor is analyzing to form an actively managed stock portfolio.
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 7%, and the market's average return was 14%. Performance is measured using an index model regression on excess returns. Index model regression estimates R-square Residual standard deviation, o(e) Standard deviation of excess returns Stock A 1% +1.2(rm - rf) Stock B 2% +0.8(rm – rf) 0.635 0.466 11.3% 22.6% 20.1% 26.9% Required: a. Calculate the following statistics for each stock: b. Which stock is the best choice under the following circumstances? Complete this question by entering your answers in the tabs below. Required A Required B Calculate the following statistics for each stock: Note: Round your answers to 4 decimal places. i. Alpha ii. Information ratio iii. Sharpe ratio iv. Treynor measure Stock A Stock B % %
Consider the two (excess return) Index-model regression results for stocks A and B. The risk-free rate over the period was 4%, and the market's average return was 11%. Performance is measured using an Index model regression on excess returns. Stock A Stock B Index model regression estimates R-square 1% +1.2(rm -rf) 2% +0.8(M-r) Residual standard deviation, d(e) Standard deviation of excess returns 0.683 12.1% 23.4% 0.49 20.9% 28.5% Required: a. Calculate the following statistics for each stock: b. Which stock is the best choice under the following circumstances? Answer is complete but not entirely correct. Complete this question by entering your answers in the tabs below. Required A Required B Calculate the following statistics for each stock: Note: Round your answers to 4 decimal places. Stock A Stock B i. Alpha 1.0000 % 2.0000 % ii. Information ratio 0.0826 0.0957 iii. Sharpe ratio 0.4017 0.2667 iv. Treynor measure 0.0783x 0.0950 x
Kindly answer 11 and 12 Using the stock price data for any two companies provided below carry out the following tasks: 1.Compute, for each asset: i.Total Returns ii.Expected returns iii.standard deviation iv.Correlation Coefficient 2.Construct the variance-covariance matrix 3.Construct equally weighted portfolio and calculate Expected Return, Standard Deviation and Sharpe ratio. 4.Reconstruct equally weighted portfolio and calculate Expected Return, Standard Deviation and Sharpe ratio. 5.Use Solver to determine optimal risky portfolio. 6.Create hypothetical portfolios (commencing from Weight A=0 and weight B=100) 7.Calculate Expected return and Standard Deviation for all the above combinations 8.Graph the efficient frontier 9.Graph the optimal portfolio 10.Assuming that the investors prefers lower level of risk than what a portfolio of risky assets offer, introduce a risk free asset in the portfolio with a return of 3% 11.Using hypothetical weights (A= Portfolio of Risky Assets, B= 1…
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 6%, and the market’s average return was 13%. Performance is measured using an index model regression on excess returns. Stock A Stock B Index model regression estimates 1% + 1.2(rM − rf) 2% + 0.8(rM − rf) R-square 0.588 0.442 Residual standard deviation, σ(e) 10.5% 19.3% Standard deviation of excess returns 21.8% 25.3% a. Calculate the following statistics for each stock: (Round your answers to 4 decimal places.) stock A (%) Stock B (%) i. Alpha ii. Information ratio iii. Sharpe ratio iv. Treynor measure b. Which stock is the best choice under the following circumstances? i. This is the only risky asset to be held by the investor ii. This stock will be mixed with the rest of the investors' portfolio, currently composed solely of holdings in the market-index fund. iii. This is one…
Consider the two (excess return) index model regression results for A and B. RA = 1.5% + 1.7RM R-square = 0.622 Residual standard deviation = 12% RB = -2.4 % +1.3RM R-square=0.468 Residual standard deviation = 9.8% Required: a. Which stock has more firm-specific risk? b. Which stock has greater market risk? c. For which stock does market movement explain a greater fraction of return variability? d. If rf were constant at 5.5% and the regression had been run using total rather than excess returns, what would have been the regression intercept for stock A? Complete this question by entering your answers in the tabs below. Required A Required B Required C Required D If rf were constant at 5.5% and the regression had been run using total rather than excess returns, what would have been the regression intercept for stock A? Note: Negative value should be indicated by a minus sign. Round your answer to 2 decimal places. Intercept %
KINDLY ANSWER PART 5,6.and 7 Using the stock price data for any two companies provided below carry out the following tasks: 1.Compute, for each asset: i.Total Returns ii.Expected returns iii.standard deviation iv.Correlation Coefficient 2.Construct the variance-covariance matrix 3.Construct equally weighted portfolio and calculate Expected Return, Standard Deviation and Sharpe ratio. 4.Reconstruct equally weighted portfolio and calculate Expected Return, Standard Deviation and Sharpe ratio. 5.Use Solver to determine optimal risky portfolio. 6.Create hypothetical portfolios (commencing from Weight A=0 and weight B=100) 7.Calculate Expected return and Standard Deviation for all the above combinations 8.Graph the efficient frontier 9.Graph the optimal portfolio 10.Assuming that the investors prefers lower level of risk than what a portfolio of risky assets offer, introduce a risk free asset in the portfolio with a return of 3% 11.Using hypothetical weights (A= Portfolio of Risky…
The beta of Exxon stock has been estimated as 1.6 using regression analysis on a sample of historical returns. A commonly-used adjustment technique would provide an adjusted beta of A. 1.20. B. 1.40. C. 1.32. D. 1.13.
1. Assume a two-factor model explains stock returns. Regression estimates of stocks A and B on the two factors are given below. Stock B, B, A 1.2 -0.5 4 в 3.5 -0.8 2.0 3 Assume further that factor one has expected return of 10 and standard deviation of 8. Factor two has expected return of 5 and standard deviation of 6. a) Calculate expected returns for A and B. b) Calculate standard deviations for A and B. c) Calculate expected return on a portfolio that invests 60% in A and 40% in B.
Consider the two (excess return) index model regression results for A and B: RA = 0.8% + 1RM R-square = 0.588 Residual standard deviation = 10.8% RB = –1.2% + 0.7RM R-square = 0.452 Residual standard deviation = 9% a. Which stock has more firm-specific risk? A. Stock A B. Stock B Which stock has greater market risk? A. Stock A B. Stock B b. For which stock does market movement has a greater fraction of return variability? A. Stock A B. Stock B c. If rf were constant at 4.5% and the regression had been run using total rather than excess returns, what would have been the regression intercept for stock A? (Negative value should be indicated by a minus sign. Round your answer to 2 decimal places.)
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)
iv. Given the following sample data, calculate the performance measures for portfolio P and the market (Sharpe, Jensen/Alpha and Treynor. The T-bill rate during the period was 6 %). By which measure did portfolio P outperform the market? Portfolio P. Market M Ave. return 35 % 28 % Beta 1.2 1.0 Standard Dev 42% 30 %

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