robust portfolio optimization
I am exploring robust portfolio optimization. I have historical daily data for 20 stocks over 2 year period. i'd like to simulate 1,000 datasets of 1 year each that have autocorrelation and cross-correlation properties similar to those of the historical data. Then I'd like to find allocation that maximizes minimum risk-adjusted return over 1,000 datasets. All suggestions are appreciated!
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