Robust Portfolio Selection

Abstract

Robust portfolio selection is the process of allocating assets in such a way that the resulting portfolio is less sensitive to errors in the predicted behavior of the assets in the portfolio. Tools from robust and Bayesian statistics, simulation, and stochastic and robust optimization are often used to improve the stability, theoretical properties, and computational tractability of models for portfolio selection.