Calculating Expected Return and Standard Deviation of Combined Investment

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SUMMARY

The discussion focuses on calculating the expected return and standard deviation of a combined investment in two stocks with identical expected returns of 0.05, variances of 0.0009, and a covariance of -0.001. The expected return of the combined investment, calculated using the formula E[Return] = E[50X] + E[100Y], results in a total of 7.5. The standard deviation is derived from the variance formula Var(Return) = Var(50X + 100Y), yielding a standard deviation of approximately 1.118. Chebyshev's theorem is applied to determine the range containing future returns with a probability of 8/9.

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Let X and Y be the per dollar return of 2 stocks. Suppose that both have an expected return of 0.05, both have a variance of 0.0009 and covariance(X,Y)= -0.001. Suppose that you invest $50 in the stock with return X and $100 in the stock having return Y

1) Calculate the expected return of your combined investment. Calculate the standard deviation

2) Provide the smallest centered at your expected return that will contain your future return with probability 8/9. (HINT: Since you many not assume that the return distribution is normal, you must use Chebychev's theorem)


For number 1) is this simply adding up 0.05 *2??
 
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1)E[Return] = E[50X] + E[100Y] = (50*.05)+(100*.05)=7.5

The standard deviation is:
Var(Return) = Var(50X+100Y)= 502Var(X) + 1002Var(Y)+ 2*(50)*(100)*Cov(X,Y) = 1.25

\sqrt{1.25}=1.118
 

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