A1 Refereed original research article in a scientific journal
Optimal variance stopping with linear diffusions
Authors: Kamille Sofie Tågholt Gad, Pekka Matomäki
Publisher: Elsevier
Publication year: 2020
Journal: Stochastic Processes and their Applications
Journal name in source: Stochastic Processes and their Applications
Volume: 130
First page : 2349
Last page: 2383
ISSN: 0304-4149
eISSN: 1879-209X
DOI: https://doi.org/10.1016/j.spa.2019.07.001
Web address : https://doi.org/10.1016/j.spa.2019.07.001
Self-archived copy’s web address: https://arxiv.org/abs/1612.09167
We study the optimal stopping problem of maximizing the variance of an unkilled linear diffusion. Especially, we demonstrate how the problem can be solved as a convex two-player zero-sum game, and reveal quite surprising application of game theory by doing so. Our main result shows that an optimal solution can, in a general case, be found among stopping times that are mixtures of two hitting times. This and other revealed phenomena together with suggested solution methods could be helpful when facing more complex non-linear optimal stopping problems. The results are illustrated by a few examples.