Finance, Risk Analytics, Data Science, Machine Learning.
((df_calculation['Result1'].sum())**2) * variance_percent_df.iloc[0] portfolio_risk = np.sqrt(result1) * 2.33 #99 percentile value print('portfolio risk:', portfolio_risk) Finally, the risk of our portfolio comes to be about 9% As promised earlier, let’s now explore the meaning of this “99