Calculating skewness and kurtosis
You just saw the histogram of the S&P500 data, let's now put it into numbers and calculate skewness and kurtosis. For the full picture of the distribution, you'll also look at the mean and standard deviation. Available are the S&P500 returns data under returns_sp500, which is all you need for this.
This exercise is part of the course
Introduction to Portfolio Analysis in Python
Exercise instructions
- Calculate the mean and the standard deviation.
- Calculate the skewness.
- Calculate kurtosis.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the mean
print("mean : ", returns_sp500.____()*100)
# Print the standard deviation
print("Std. dev : ", returns_sp500.____()*100)
# Print the skewness
print("skew : ", returns_sp500.____())
# Print the kurtosis
print("kurt : ", returns_sp500.____())