Time-consistency in the mean-variance problem: A new perspective

Abstract

We investigate discrete-time mean-variance portfolio selection problems viewed as a Markov decision process. We transform the problems into a new model with deterministic transition function for which the Bellman optimality equation holds. In this way, we can solve the problem recursively and obtain a time-consistent solution, that is an optimal solution that meets the Bellman optimality principle. We apply our technique for solving explicitly a more general framework.

References in corpus (2)

• Markov Decision Processes with Risk-Sensitive Criteria: An Overview
• Mean Field Markov Decision Processes