Analyze results and compare to benchmark

In the previous exercises of the chapter, we created an equal weight benchmark r_benchmark and ran the following optimizations:

Minimize portfolio standard deviation with sample estimates (returns stored in returns_base).
Minimize portfolio standard deviation with percentage contribution to risk using sample estimates (returns stored in returns_rb).
Minimize portfolio standard deviation with percentage contribution to risk using robust estimates (returns stored in returns_rb_robust).

Now we wish to analyze the performance of the optimization backtests and compare with the benchmark.

This exercise is part of the course

Intermediate Portfolio Analysis in R

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Exercise instructions

Combine the returns of the benchmark portfolio and optimizations into a single xts object.
Compute and display the annualized returns.
Chart the cumulative return and drawdowns.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Combine the returns
ret <- cbind(___, ___, ___, ___)

# Compute annualized returns
table.AnnualizedReturns(R = ___)

# Chart the performance summary
charts.PerformanceSummary(R = ___)

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