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arXiv · 1612.09167

Optimal variance stopping with linear diffusions

Kamille Sofie Tågholt Gad·Pekka Matomäki
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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 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.

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BibTeXRIS

Kamille Sofie Tågholt Gad, Pekka Matomäki. 2016-12-29. Optimal variance stopping with linear diffusions. https://doi.org/10.1016/j.spa.2019.07.001

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