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- Calculate the correlation coefficient between Blandy and the market. Use this and the previously calculated (or given) standard deviations of Blandy and the market to estimate Blandy’s beta. Does Blandy contribute more or less risk to a well-diversified portfolio than does the average stock? Use the SML to estimate Blandy’s required return.A stock’s returns have the following distribution:Demand for theCompany’s ProductsProbability of thisDemand OccurringRate of Return if thisDemand OccursWeak 0.1 (30%)Below average 0.1 (14)Average 0.3 11Above average 0.3 20Strong 0.2 451.0Assume the risk-free rate is 2%. Calculate the stock’s expected return, standard deviation,coefficient of variation, and Sharpe ratio.Suppose that the index model for stocks A and B is estimated from excess returns with the following results: RA= 4.0% + 0.50RM + eA RB= -1.2% + 0.7RM + eB sigmaM= 17% ; R-squareA = 0.26 ; R-squareB= 0.18 Break down the variance of each stock to the systematic and firm-specific components (write in decimal form, rounded to 4 decimal places). Risk for A Risk for B Systematic Firm-specific
- An investment Analysist provide the following data regarding the possible future returns on AmDa’s common stock State of economy Probability ReturnRecession 0.25 -1.4%Normal 0.45 9.4%Boom 0.30 15.4%i. Compute the expected return on the security? ii. Compute the standard deviation on the security? iii. Compute the Coefficient of variationThe shares of hypothetical company limited has the following anticipated returns with associated probabilities Return % Probability -20 0.05 -10 0.10 10 0.20 15 0.25 20 0.20 25 0.15 30 0.05 Calculate the expected rate of return, standard deviation, variance coefficient of variationAssume that the covariance between Stock A and Stock B is -28%^2 (0.0028). Compute the expected rate of return and variance of rate of return of Donald’s portfolio.
- Suppose the index model for stocks A and B is estimated with the following results:rA = 2% + 0.8RM + eA, rB = 2% + 1.2RM + eB , σM = 20%, and RM = rM − rf . The regressionR2 of stocks A and B is 0.40 and 0.30, respectively.(a) What is the variance of each stock? (b) What is the firm-specific risk of each stock? (c) What is the covariance between the two stocks?Suppose the index model for stocks A and B is estimated with the following results:rA = 2% + 0.8RM + eA, rB = 2% + 1.2RM + eB , σM = 20%, and RM = rM − rf . The regressionR2 of stocks A and B is 0.40 and 0.30, respectively. Answer the following questions. (a) What is the variance of each stock? (b) What is the firm-specific risk of each stock? (c) What is the covariance between the two stocks?The market and Stock A have the following probability distributions: Probability Return on market Return on Stock A 0.2 18% 16% 0.3 12% 14% 0.5 10% 11% Calculate the expected rates of return for the market and Stock A. Calculate the coefficient of variation for the market and Stock A (Standard deviation for market is 3.0265% and standard deviation for Stock A is 2.0224%).
- Suppose that the index model for stocks A and B is estimated from excess returns with the following results:RA = 3% + .7RM + eARB = −2% + 1.2RM + eBσM = 20%; R-squareA = .20; R-squareB = .12Break down the variance of each stock into its systematic and firm-specific components.The market and Stock J have the following probability distributions: ProbabIlity rM rJ 0.3 15% 20% 0.4 9 5 0.3 18 12 A. Calculate the expected rates of return for the market and Stock J. B. Calculate the standard deviations for the market and Stock JYour rate of retum expectations for the common stock of Company during the next year are: Possible Rate of Return Probability- 0.10 0.250.00 0.150.10 0.350.25 0.25 Required: Compute the expected return [E(R)] on this investment, the variance of this returm, and its standard deviation
