Dynamic programming for mean-variance portfolio selection

Session 4: Dynamic Control and Equilibrium Problems

Abstract: We present a dynamic programming approach to solving the mean-variance portfolio selection problem in finite discrete time. This bypasses issues of time-inconsistency and hence does not need the introduction of an equilibrium or game-theoretic approach.
(Based on joint work with Z. Tan.)