On the Time Consistent Solution to Optimal Stopping Problems with Expectation Constraint

Abstract We study the (weak) equilibrium problem arising from the problem of optimally stopping a one-dimensional diffusion subject to an expectation constraint on the time until stopping. The weak equilibrium problem is realized with a set of randomized but purely state dependent stopping times as admissible strategies. We derive a verification theorem and necessary conditions for equilibria, which together basically characterize all equilibria. Furthermore, additional structural properties of equilibria are obtained to feed a possible guess-and-verify approach, which is then illustrated by an example.

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Publication Details

Journal
Applied Mathematics & Optimization
Published
2024-12-19
DOI
https://doi.org/10.1007/s00245-024-10202-w
Citations
1
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.35

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article

On the Time Consistent Solution to Optimal Stopping Problems with Expectation Constraint

Steffen Christensen, Mark Klein, B. Schultz
1 citations
Applied Mathematics & Optimization
Optimization and Search Problems
0.35
article

On the Time Consistent Solution to Optimal Stopping Problems with Expectation Constraint

Steffen Christensen, Mark Klein, B. Schultz
article en
1 citations

Abstract

Abstract We study the (weak) equilibrium problem arising from the problem of optimally stopping a one-dimensional diffusion subject to an expectation constraint on the time until stopping. The weak equilibrium problem is realized with a set of randomized but purely state dependent stopping times as admissible strategies. We derive a verification theorem and necessary conditions for equilibria, which together basically characterize all equilibria. Furthermore, additional structural properties of equilibria are obtained to feed a possible guess-and-verify approach, which is then illustrated by an example.

Applied Mathematics & OptimizationVol. 91(1)
Christian-Albrechts-Universität zu Kiel (DE)
Christian-Albrechts-Universität zu Kiel
Openalex Percentile: Top 35%
Optimization and Search Problems
0.35
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On the Time Consistent Solution to Optimal Stopping Problems with Expectation Constraint — Steffen Christensen, Mark Klein, et al. · Applied Mathematics & Optimization (2024) | TGRS Research Map | TGRS