You are given the following partial covariance and correlation tables from historical data: Securities J K Market Securities J K Market Covariance Matrix K 0.0020480 0.0021600 Correlation Matrix K 0.60 1.00 0.90 J 1.00 0.60 0.80 Market 0.0020480 0.0021600 Market 0.80 0.90 1.00 Also, you have estimated that the market's standard deviation is 4.3 percent. For the coming year, the expected return on the market is 14.0 percent and the risk-free rate is expected to be 4.0 percent. Given this information, determine the beta for Security K for the coming year, assuming CAPM is the correct model for required returns.

You are given the following partial covariance and correlation tables from historical data: Securities J K Market Securities J K Market Covariance Matrix K 0.0020480 0.0021600 Correlation Matrix K 0.60 1.00 0.90 J 1.00 0.60 0.80 Market 0.0020480 0.0021600 Market 0.80 0.90 1.00 Also, you have estimated that the market's standard deviation is 4.3 percent. For the coming year, the expected return on the market is 14.0 percent and the risk-free rate is expected to be 4.0 percent. Given this information, determine the beta for Security K for the coming year, assuming CAPM is the correct model for required returns.

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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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)
Security X has expected return of 14% and standard deviation of 22%. Security Y has expected return of 16% and standard deviation of 28%. If the two securities have a correlation coefficient of 0.8, what is their covariance? 0.049 0.038 0.018 0.013
how do you calculate a stocks average monthly return,its return variance ,standard deviation and beta? what is the formula
You are given the following information concerning three portfolios, the market portfolio, and the risk-free asset: Portfolio X Y Z Market Risk-free Rp 14.0% 13.0 .8.5 12.0 7.2 Ор 39.00% 34.00 24.00 29.00 0 Bp 1.50 1.15 0.90 1.00 0 Assume that the correlation of returns on Portfolio Y to returns on the market is 0.90. What percentage of Portfolio Y's return is driven by the market? Note: Enter your answer as a decimal not a percentage. Round your answer to 4 decimal places. R-squared
The 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?
What is the average annual return? b. What is the variance of the stock's returns? c. What is the standard deviation of the stock's returns? Note: Notice that the average return and standard deviation must be entered in percentage format. The variance must be entered in decimal format. Year 1 2 3 4 Return (%) Year1: -4.1% Year2: 27.6% Year 3: 12.3% Year 4: 3.6%
In the CAPM world, if Sharpe ratio of the market portfolio is 1.25 and the correlation coefficient between stock i and the market portfolio is 0.60, what is the stock i's Sharpe ratio? → (1) 0.25; (2) 0.45; (3) 0.50; (4) 0.75; (5) 0.80; (6) 1.00; (7) 1.25; 8 (8) 1.50; (9) 1.75; (10) 2.05;
When we test CAPM using historical data, a classic test is to regress excess returns of stocks onto the stock betas, using the following regression specification across stocks: - Rp Rf =α+By+ε where Rup - Rf is the average excess return of a security or portfolio, ẞ is the estimated beta of the security or portfolio, & is the regression residual, and a (Alpha) and y (Gamma) are regression coefficients. Based on the regression, which of the following statements are true if CAPM is true? Select all two correct statements. The Alpha is zero The Alpha is positive The Gamma is positive The Gamma is zero
The beta of a portfolio is: A. A measure of the correlation of betas of the securities in the portfolio. B. Always greater than one. C. The market value weighted average beta of the securities in the portfolio. D. The geometric average of the beta of the securities in the portfolio.
the variance of stock A is .004, the variance of the market .007 and the covariance between the two is .0026. what is the correlation coefficient?
Given the following probability distribution, what are the expected return and the standard deviation of returns for Security J? State Pi ri 1 0.5 11% 2 0.3 8% 3 0.2 5% O 9.40%; 2.04% O 8.90%; 2.34% O 7.40%; 2.94% O 8.40%; 2.64% O 7.90%; 1.74%
calculate the following Sharpe Ratio (SP) Treynor Measure Jensen Measure M2 measure T2 measure Information Ratio (appraisal ratio) Fund Average return Standard Deviation Beta coefficient Unsystematic Risk A 0.240 0.220 0.800 0.017 B 0.200 0.170 0.900 0.450 C 0.290 0.380 1.200 0.074 D 0.260 0.290 1.100 0.026 E 0.180 0.400 0.900 0.121 F 0.320 0.460 1.100 0.153 G 0.250 0.190 0.700 0.120 Market 0.220 0.180 1.000 0.000 Risk free return 0.050 0.000

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