(You can work individually or in groups of up to 2)
Due on or before December 3 at midnight.
Note: because of COVID restrictions, the project must be submitted virtually. As such, after completing all work as detailed below, please scan (scanner or phone scanning app) your printed pages and by hand work to submit a PDF version of the project.
Analysis of risk and return, portfolio diversification
Here you will apply what you have learned about portfolio theory. Use the monthly-adjusted closing prices for IBM, MSFT, And the S&P500 during the five-year period from January 2013 – December 2017 in the file “Stock Project Stock Prices” posted on Canvas. Calculate returns for each month for each of these three assets (Stock 1; Stock 2; S&P 500).
Calculate the following for each asset (in Excel, using the statistical functions given in parentheses): average return (AVERAGE), standard deviation of returns (STDEV.S), and variance of returns (VAR.S). What is the covariance (COVAR.S) and correlation (CORREL) between the returns of stock 1 and stock 2?
Calculate the return and standard deviation of a portfolio that holds these two stocks in the following weights: 0%-100%; 10%-90%; 20%-80%; 30%-70%; 40%-60%; 50%-50%; 60%-40%; 70%-30%; 80%-20%; 90%-10%, 100%-0%. Plot these portfolio return / standard deviation combinations. Make sure return is on the vertical axis and standard deviation is on the horizontal axis. (Important: use a scatterplot) (You may use excel for this part)
What to turn in: A PDF copy of your plot, results, and detailed analysis — this means you should clearly show all of your work! Write out all equations that you use, with the exception of those that are functions in excel such as AVG, COVAR, VAR, etc. For example, you need to write out the equations for portfolio weights, returns, standard deviations, and sharpe ratios for your calculations in determining the MVP and ORP.
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