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Suppose we form a portfolio invested in Mercedes and BMW stocks. The two stocks are equally weighted in the portfolio. The table below displays each

Suppose we form a portfolio invested in Mercedes and BMW stocks. The two stocks are equally weighted in the portfolio. The table below displays each stock’s mean return, variance, and standard deviation, as well as their covariance. Estimate the mean and variance of this portfolio, as well as its standard deviation. Show in detail your calculations.

Asset returns Mean return Variance Standard deviation Covariance Mercedes BMW 1.78% -0.48% 0.0456 0.0276 21.35% 16.61% 0.0020

b. The graph below shows the envelope frontier. Based on the graph below do you agree with the statement “Portfolio P(1) and P(2) are two efficient portfolios”? Explain your answer.

Portfolio Means and Returns 17% A15% 13% Portfolio expected retrun Erp) 11% P(1) BB 9% P(2) 7% C5% 30% 35% 40% 45% 70% 75%

c. Explain in detail all five propositions on envelope portfolios.

d. Consider two portfolios, x and y, whose convex combinations compose the envelope frontier in the graph below (curve ABC). Also marked, are other portfolios, some of which contain short positions of either x or y. Do you agree with the statement “Every convex combination of any two efficient portfolios is efficient”? Explain your answer.

16% A14% 12% 10% 8% B6% С4% 20% 25% 30% 35% 40% 45% 50% 55% 60%

e. Let us now compute an envelope portfolio with constant ???? = 4%, where the vector z solves the system of simultaneous linear equations ????(????) − ???? = ????????. Then, this solution produces a portfolio x and y on the envelope of the feasible set. Write down and explain the Excel formula used to calculate the values in Cells A20, F20, F24 (portfolio weights and sum of portfolio weights), F26:F28 (mean, variance and standard deviation), and B30:B31 (covariance, correlation), in the Excel spreadsheet below:

H A B C D G1 CALCULATING THE FRONTIER E(r) Variance covariance, Mean minus returns constan 2E(1) t 30.10 0.01 0.03 0.05 6% 

Asset returns Mean return Variance Standard deviation Covariance Mercedes 1.78% 0.0456 21.35% 0.0020 BMW -0.48% 0.0276 16.61%

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