A Multiple Objective Stochastic Portfolio Selection Program with Partial Information on Probability Distribution

摘要

In this paper, we propose a multiobjective stochastic model with linear partial information on probability distribution (MSPLI) for portfolio selection problem. We apply an extended chance constrained compromise programming approach to obtain the deterministic equivalent of the MSPLI model.