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Questions Use the following scenario for stocks X and Y to answer questions 1 7 . Bear Market Normal Market Bull Market Probability 0 .

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Use the following scenario for stocks X and Y to answer questions 17.
Bear Market
Normal Market
Bull Market
Probability
0.4
0.4
0.2
Stock X
10%
10%
20%
Stock Y
20%
10%
-10%
Additional information for your computational convenience:
Variance of returns on stock X =0.0144
Expected return on stock Y =10%
Variance of returns on stock Y =0.0120
Standard deviation of returns on stock Y =0.1095
Covariance between the returns on stocks X and Y =-0.0120
1.What is the expected return for stock X?
2.(a) What is the coefficient of variation (CV) for stock X?(b) Which stock is riskier based on the CVs? Why? Justify your answer.
3.Compute the correlation coefficient between returns on stocks X and Y.
4.Identify the direction of interrelationship based on the correlation coefficient.
5.Based on the correlation coefficient, how strongly are the returns on the two stocks related? Choose one from below.
A)Very strongly positive
B)Very weakly positive
C)Very strongly negative
D)Ver weakly negative
E)You cannot tell the strength of interrelationship by the correlation coefficient.
6.Assume that of your $10,000 portfolio, you invest $4,000 in stock X and $6,000 in stock Y. What is the expected rate of return on your portfolio?
7.What is the standard deviation of returns on your portfolio?
Use the following information to answer questions 810.
Assume that as a professional portfolio manager, you manage a risky portfolio with an expected rate of return of 11.5% and a standard deviation of 20%. The T-bill rate is 5%. Suppose your client prefers to invest in your portfolio a proportion (y) that maximizes the expected return on the complete portfolio subject to the constraint that the complete portfolios standard deviation will not exceed 12%.
8.What is the investment proportion y?
9.What is the expected rate of return on the complete portfolio?
10. What is the Sharpe ratio of your clients overall portfolio?

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