Set-valued stochastic integrals for convoluted Lévy processes

Fuente: arXiv
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Autor principal: Xia, Weixuan
Formato: Preprint
Publicado: 2023
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author Xia, Weixuan
author_facet Xia, Weixuan
contents In this paper we study set-valued Volterra-type stochastic integrals driven by Lévy processes. Upon extending the classical definitions of set-valued stochastic integral functionals to convoluted integrals with square-integrable kernels, set-valued convoluted stochastic integrals are defined by taking the closed decomposable hull of the integral functionals for generic time. We show that, aside from well-established results for set-valued Itô integrals, while set-valued stochastic integrals with respect to a finite-variation Poisson random measure are guaranteed to be integrably bounded for bounded integrands, this is not true when the random measure is of infinite variation. For indefinite integrals, we prove that it is a mutual effect of kernel singularity and jumps that the set-valued convoluted integrals are possibly explosive and take extended vector values. These results have some important implications on how set-valued fractional dynamical systems are to be constructed in general. Two classes of set-monotone processes are studied for practical interests in economic and financial modeling.
format Preprint
id arxiv_https___arxiv_org_abs_2312_01730
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Set-valued stochastic integrals for convoluted Lévy processes
Xia, Weixuan
Probability
Mathematical Finance
28B20, 60G22, 60G57
In this paper we study set-valued Volterra-type stochastic integrals driven by Lévy processes. Upon extending the classical definitions of set-valued stochastic integral functionals to convoluted integrals with square-integrable kernels, set-valued convoluted stochastic integrals are defined by taking the closed decomposable hull of the integral functionals for generic time. We show that, aside from well-established results for set-valued Itô integrals, while set-valued stochastic integrals with respect to a finite-variation Poisson random measure are guaranteed to be integrably bounded for bounded integrands, this is not true when the random measure is of infinite variation. For indefinite integrals, we prove that it is a mutual effect of kernel singularity and jumps that the set-valued convoluted integrals are possibly explosive and take extended vector values. These results have some important implications on how set-valued fractional dynamical systems are to be constructed in general. Two classes of set-monotone processes are studied for practical interests in economic and financial modeling.
title Set-valued stochastic integrals for convoluted Lévy processes
topic Probability
Mathematical Finance
28B20, 60G22, 60G57
url https://arxiv.org/abs/2312.01730