A1 Refereed original research article in a scientific journal

Optimal variance stopping with linear diffusions




AuthorsKamille Sofie Tågholt Gad, Pekka Matomäki

PublisherElsevier

Publication year2020

JournalStochastic Processes and their Applications

Journal name in sourceStochastic Processes and their Applications

Volume130

First page 2349

Last page2383

ISSN0304-4149

eISSN1879-209X

DOIhttps://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 addresshttps://arxiv.org/abs/1612.09167


Abstract

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.



Last updated on 2024-26-11 at 12:07