Wong--Zakai approximations with convergence rate for stochastic differential equations with regime switching
Abstract
We construct Wong--Zakai approximations of time--inhomogeneous stochastic differential equations with regime switching (RSSDEs), and provide a convergence rate. %Given a family of finite-variation processes that converge strongly to a standard Brownian motion , we construct pathwise approximations for regime-switching, time-inhomogeneous stochastic differential equations in the Wong-Zakai sense. Moreover, we determine the rate of strong convergence to the solutions of such regime-switching SDEs, showing that this rate is almost as good as that of to . In the proposed approximations, the standard Brownian motion driving the time-inhomogeneous RSSDEs is replaced by a family of finite--variation processes . We show that if strongly converges to at rate , then the Wong--Zakai approximation strongly converges to the original solution of the time--inhomogeneous RSSDE at rate , for any . This is the first paper on Wong--Zakai approximations for time--inhomogeneous RSSDEs, and significantly extends the counterparts for time--homogeneous SDEs without regime switching in R\"{o}misch and Wakolbinger (1985).
Keywords
Cite
@article{arxiv.2101.03250,
title = {Wong--Zakai approximations with convergence rate for stochastic differential equations with regime switching},
author = {Giang T. Nguyen and Oscar Peralta},
journal= {arXiv preprint arXiv:2101.03250},
year = {2021}
}