On stochastic control under poissonian intervention: optimality of a barrier strategy in a general Lévy model

Abstract We study a version of the stochastic control problem of minimizing the sum of running and controlling costs, where control opportunities are restricted to independent Poisson arrival times. Under a general setting driven by a general Lévy process, we show the optimality of a periodic barrier strategy, which moves the process upward to the barrier whenever it is observed to be below it. The convergence of the optimal solutions to those in the continuous-observation case is also shown.

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Publication Details

Journal
Journal of Applied Probability
Published
2025-01-09
DOI
https://doi.org/10.1017/jpr.2024.80
Citations
2
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
4.42

Funders

Controls
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article

On stochastic control under poissonian intervention: optimality of a barrier strategy in a general Lévy model

Kazutoshi Yamazaki, Kei Noba
2 citations
Journal of Applied Probability
Stochastic processes and financial applications
4.42
article

On stochastic control under poissonian intervention: optimality of a barrier strategy in a general Lévy model

Kazutoshi Yamazaki, Kei Noba
article en
2 citations

Abstract

Abstract We study a version of the stochastic control problem of minimizing the sum of running and controlling costs, where control opportunities are restricted to independent Poisson arrival times. Under a general setting driven by a general Lévy process, we show the optimality of a periodic barrier strategy, which moves the process upward to the barrier whenever it is observed to be below it. The convergence of the optimal solutions to those in the continuous-observation case is also shown.

Journal of Applied ProbabilityVol. 62(2)
The University of Queensland (AU), The Institute of Statistical Mathematics (JP)
University of Queensland, Japan Society for the Promotion of Science
Openalex Percentile: Top 8%
Stochastic processes and financial applications
4.42
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