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  5. Introduction to Portfolio Analysis in Python

Exercise

Skewness of the S&P500

We already know from the video that the S&P500 should be normally distributed, without too much skewness (when you have enough data). However, since you're working with a short data sample spanning only a few years, there might actually be some skewness in your sample. To make you aware of this potential sample skewness, let's plot the data and have a look.

The returns data from the S&P500 is available as returns_sp500.

Instructions 1/2

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  • Create a histogram of your returns data with the hist() function, followed by plt.show() to see the plot.