Optimal stopping of Gauss–Markov bridges

Abstract

We solve the non-discounted, finite-horizon optimal stopping problem of a Gauss–Markov bridge by using a time-space transformation approach. The associated optimal stopping boundary is proved to be Lipschitz continuous and differentiable anywhere away from the horizon, and it is characterized by the unique solution of an integral equation. A Picard iteration algorithm is discussed and implemented to exemplify the numerical computation and geometry of the optimal stopping boundary for some illustrative cases.

Publication
Advances in Applied Probability
Eduardo García-Portugués
Eduardo García-Portugués
Group Head
Associate Professor