Optimal variance stopping with linear diffusions




Kamille Sofie Tågholt Gad, Pekka Matomäki

PublisherElsevier

2020

Stochastic Processes and their Applications

Stochastic Processes and their Applications

130

2349

2383

0304-4149

1879-209X

DOIhttps://doi.org/10.1016/j.spa.2019.07.001

https://doi.org/10.1016/j.spa.2019.07.001

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.



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