Mean–variance portfolio optimization when means and covariances are unknown
Mean–variance portfolio optimization when means and covariances are unknown
Markowitz's celebrated mean–variance portfolio optimization theory assumes that the means and covariances of the underlying asset returns are known. In practice, they are unknown and have to be estimated from historical data. Plugging the estimates into the efficient frontier that assumes known parameters has led to portfolios that may perform …