Exercise

Active return

In this first exercise, you're going to calculate the active return of a portfolio that's managed against a benchmark. You've learned many ways of how to calculate total return over a period. For this exercise, you'll use the simple mean returns multiplied with the weights to obtain a total return for both the portfolio as well as the benchmark. Available is portfolio data containing weights and asset returns under portfolio_data. Have a look at the data by running portfolio_data.head(10) in the IPython Shell. Good luck!

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Inspect the portfolio weights by checking whether they sum up to 100%, by using the .sum() function on the pf_weights column.