There are (at least) three general areas for which random portfolios are useful: Performance, Risk and Quant.
Benchmark investment performance, evaluate managers, and measure results with objective comparisons based on random portfolios.
Improve portfolio risk analysis by validating models, testing constraints, and comparing against thousands of random portfolios.
Support quantitative research with practical tools for testing strategies, exploring portfolio construction, and validating investment ideas.
