Do improved estimates lead to improved performance?

Let us hypothesize that using a robust estimate of the variance-covariance matrix will outperform the sample variance covariance matrix. In theory, better estimates should lead to better results. We will use the moments_robust() function that was defined in chapter 3 and the portfolio specification from the last exercise.

Run the optimization using the moments_robust() function to estimate moments. The optimization backtest will use the same parameters used previously, quarterly rebalancing with training period and rolling window to use 5 years of data. Assign the results to a variable named opt_rebal_rb_robust.
Chart the weights.
Chart the component percentage contribution to risk.
Compute the portfolio returns using Return.portfolio(). Assign the returns to a variable named returns_rb_robust.

Exercise

Do improved estimates lead to improved performance?

Instructions