Markov approximation for controlled Hawkes Jump-Diffusions with general kernels

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Hauptverfasser: Khabou, Mahmoud, Talbi, Mehdi
Format: Preprint
Veröffentlicht: 2025
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author Khabou, Mahmoud
Talbi, Mehdi
author_facet Khabou, Mahmoud
Talbi, Mehdi
contents We present a Markov approximation for jump-diffusions whose jump part consists in a Hawkes process with intensity driven by a general (possibly non-monotone) kernel. Under minimal integrability conditions, the kernel can be approximated by a linear combination of exponential functions. This implies that Hawkes jump-diffusions can be approximated with Markov jump-diffusions. We illustrate the usefulness of this approximation by applying it to a class of stochastic control problems.
format Preprint
id arxiv_https___arxiv_org_abs_2507_11294
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Markov approximation for controlled Hawkes Jump-Diffusions with general kernels
Khabou, Mahmoud
Talbi, Mehdi
Probability
Optimization and Control
60G55, 93E20, 45D05, 60H10
We present a Markov approximation for jump-diffusions whose jump part consists in a Hawkes process with intensity driven by a general (possibly non-monotone) kernel. Under minimal integrability conditions, the kernel can be approximated by a linear combination of exponential functions. This implies that Hawkes jump-diffusions can be approximated with Markov jump-diffusions. We illustrate the usefulness of this approximation by applying it to a class of stochastic control problems.
title Markov approximation for controlled Hawkes Jump-Diffusions with general kernels
topic Probability
Optimization and Control
60G55, 93E20, 45D05, 60H10
url https://arxiv.org/abs/2507.11294