Due to most of my friends do not know how to calculate the portfolio risk, so I revisit the variance-covariance matrix construction. Hopefully every body can benefit from it.
Step 1: Data Collection
60 monthly historical prices of a security are collected. You may download the historical price from Yahoo! Finance.
Step 2: Calculate Expected Portfolio Return
E(r,i) = average expected return of 60 monthly data for stock i;
E(r,p) = expected return of a portfolio;
Let us take 3 individual securities for example.
E(r,p) = 1.09% monthly
Step 3: Calculate Portfolio Risk
Calculation of the portfolio risk can be simplified by summing up all the component(s) inside the variance-covariance matrix.
2) Variance-Covariance matrix for two number of stocks, 2^2 = 4 components
3) Variance-Covariance matrix for three number of stock, 3^2 = 9 components
4) Variance-Covariance matrix for four number of stocks, 4^2 = 16 components
5) Variance-Covariance matrix for five number of stocks, 5^2 = 25 components
6) Variance-Covariance matrix for six number of stocks, 6^2 = 36 components
...ha ha, I have 14 investments in my portfolio, 14^2 = 196 components
Expected Return and Risk of a portfolio which are calculated here will be used to optimize the return-risk of a portfolio via Excel Solver. This optimization had been discussed earlier (see portfolio optimization).
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