1. Write an R function (name it myMeanVarPort) to solve for mean-variance optimal risky portfolio and depict it in a plot. a. Inputs: file containing vector of TICKERs, a begin date, an end date, risk-free rate. b. Output: an appropriately formatted list containing
(a) the vector of stock means;
(b) the covariance matrix;
(c) relevant information (weights, mean, sigma) for each simulated portfolio. Use monthly values in your calculations.
2. Using the output from the above function produce a plot of the portfolios and clearly identify with annotation the optimal portfolio.
3. Your code should reflect a procedure discussed in a lecture video wherein you simulate portfolio weights to construct 100N portfolios (that is, number of securities times 100) with random positive weights. Please use set.seed value (12).
4. Run your function using the following inputs: c(“GE”, “XOM”, “GBX”, “SBUX”, “PFE”, “HMC”, “NVDA”); 20140101; 20171231; 0.
5. Use R Markdown to construct your report. Reporting requirements are cumulative – address issues identified in previous work.
6. Create a pdf file for submission of length <= 7-8 pages (no less than 7 and no more than 8!!!!).
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