Article

On the forward algorithm for stopping problems on continuous-time Markov chains

Laurent Miclo, and Stéphane Villeneuve

Abstract

We revisit the forward algorithm, developed by Irle, to characterize both the value function and the stopping set for a large class of optimal stopping problems on continuous-time Markov chains. Our objective is to renew interest in this constructive method by showing its usefulness in solving some constrained optimal stopping problems that have emerged recently.

Keywords

Markov chains; Optimal Stopping; American option pricing;

Replaces

Reference

Laurent Miclo, and Stéphane Villeneuve, On the forward algorithm for stopping problems on continuous-time Markov chains, Journal of Applied Probability, vol. 58, n. 4, 2021, pp. 1043–1063.

See also

Published in

Journal of Applied Probability, vol. 58, n. 4, 2021, pp. 1043–1063