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Autori principali: Grigorova, Miryana, Quenez, Marie-Claire, Yuan, Peng
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2504.13503
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author Grigorova, Miryana
Quenez, Marie-Claire
Yuan, Peng
author_facet Grigorova, Miryana
Quenez, Marie-Claire
Yuan, Peng
contents We consider the non-linear optimal multiple stopping problem under general conditions on the non-linear evaluation operators, which might depend on two time indices: the time of evaluation/assessment and the horizon (when the reward or loss is incurred). We do not assume convexity/concavity or cash-invariance. We focus on the case where the agent's stopping strategies are what we call Bermudan stopping strategies, a framework which can be seen as lying between the discrete and the continuous time. We first study the non-linear double optimal stopping problem by using a reduction approach. We provide a necessary and a sufficient condition for optimal pairs, and a result on existence of optimal pairs. We then generalize the results to the non-linear $d$-optimal stopping problem. We treat the symmetric case (of additive and multiplicative reward families) as examples.
format Preprint
id arxiv_https___arxiv_org_abs_2504_13503
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The non-linear multiple stopping problem: between the discrete and the continuous time
Grigorova, Miryana
Quenez, Marie-Claire
Yuan, Peng
Optimization and Control
Probability
We consider the non-linear optimal multiple stopping problem under general conditions on the non-linear evaluation operators, which might depend on two time indices: the time of evaluation/assessment and the horizon (when the reward or loss is incurred). We do not assume convexity/concavity or cash-invariance. We focus on the case where the agent's stopping strategies are what we call Bermudan stopping strategies, a framework which can be seen as lying between the discrete and the continuous time. We first study the non-linear double optimal stopping problem by using a reduction approach. We provide a necessary and a sufficient condition for optimal pairs, and a result on existence of optimal pairs. We then generalize the results to the non-linear $d$-optimal stopping problem. We treat the symmetric case (of additive and multiplicative reward families) as examples.
title The non-linear multiple stopping problem: between the discrete and the continuous time
topic Optimization and Control
Probability
url https://arxiv.org/abs/2504.13503