Stochastic Optimal Control for Jump Diffusion Models with Singular Drifts

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Bogso, Antoine-Marie, Kameh, Edward Fuituh, Menoukeu-Pamen, Olivier, Shu, Felix
Natura: Preprint
Pubblicazione: 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866910198136832000
author Bogso, Antoine-Marie
Kameh, Edward Fuituh
Menoukeu-Pamen, Olivier
Shu, Felix
author_facet Bogso, Antoine-Marie
Kameh, Edward Fuituh
Menoukeu-Pamen, Olivier
Shu, Felix
contents We study a stochastic optimal control problem for jump-diffusion systems whose drift coefficient is piecewise Lipschitz continuous and exhibits threshold-induced discontinuities. Such dynamics naturally arise in applications with intervention policies triggered by safety levels, notably in insurance surplus management with dividend payments and capital injections. These features place the problem outside the scope of classical stochastic maximum principle (SMP) results, which rely on global smoothness assumptions. We establish both necessary and sufficient optimality conditions for this class of control problems. Our approach combines a Sobolev-type representation of the first variation process with smooth approximations and Ekeland's variational principle. As application, we study an optimal premium adjustment and reserve management policies for an insurance whose surplus is modelled by threshold-based dividend and capital injection policies.
format Preprint
id arxiv_https___arxiv_org_abs_2605_06176
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Stochastic Optimal Control for Jump Diffusion Models with Singular Drifts
Bogso, Antoine-Marie
Kameh, Edward Fuituh
Menoukeu-Pamen, Olivier
Shu, Felix
Optimization and Control
60H10, 60H07, 49J55, 60J55, 60H30
We study a stochastic optimal control problem for jump-diffusion systems whose drift coefficient is piecewise Lipschitz continuous and exhibits threshold-induced discontinuities. Such dynamics naturally arise in applications with intervention policies triggered by safety levels, notably in insurance surplus management with dividend payments and capital injections. These features place the problem outside the scope of classical stochastic maximum principle (SMP) results, which rely on global smoothness assumptions. We establish both necessary and sufficient optimality conditions for this class of control problems. Our approach combines a Sobolev-type representation of the first variation process with smooth approximations and Ekeland's variational principle. As application, we study an optimal premium adjustment and reserve management policies for an insurance whose surplus is modelled by threshold-based dividend and capital injection policies.
title Stochastic Optimal Control for Jump Diffusion Models with Singular Drifts
topic Optimization and Control
60H10, 60H07, 49J55, 60J55, 60H30
url https://arxiv.org/abs/2605.06176