The main problem of portfolio optimization is parameter estimation error. Various methods have been suggested to mitigate this problem, among which are shrinkage, resampling, Bayesian updating, naïve diversification, and imposing constraints on the portfolio weights. This study suggests two...

The geometric-mean argument and the recently developed Almost Stochastic Dominance criterion have been employed to make the case for "stocks for the long run". We show that Almost Stochastic Dominance and the geometric-mean argument do not necessarily support long-run investment in equities. In...