Transform the index values into continuously-compounded weekly returns (you do not need to report these in your submission). (b) Using the resulting returns data, estimate (and report) the vector of expected returns for the six assets, as well as the variance-covariance matrix of these returns. These expected returns etc. should be annualized (i.e. in annual units). (c) Report which of the assets are efficient and which are inefficient. For each of the inefficient assets, find another asset that dominate it. If the client was to invest 100% of her wealth into one of the efficient assets, which one should she choose? (d) Choose two of the efficient assets, construct and plot the combination line between them (with short sales allowed) for expected (annual) returns ranging between 0% and 20%. Your figure should also indicate the positions of the six assets. (e) Identify the minimum variance portfolio (MVP), i.e. report the portfolio weights (in the two efficient assets), expected return, and standard deviation of the MVP. (f) Based on the client's utility function, what is her optimal portfolio? i.e. report the portfolio weights, expected return and standard deviation of her optimal portfolio.