Wong--Zakai approximations with convergence rate for stochastic differential equations with regime switching
Giang T. Nguyen, Oscar Peralta

TL;DR
This paper develops Wong--Zakai approximations for stochastic differential equations with regime switching, providing explicit convergence rates and extending previous results to time-inhomogeneous cases.
Contribution
It introduces the first Wong--Zakai approximation framework for time-inhomogeneous RSSDEs with explicit convergence rates, extending prior work on homogeneous SDEs.
Findings
Convergence rate of the approximation matches the rate of the finite-variation processes to Brownian motion.
Approximation converges at rate ( ext{rate of finite-variation process} imes ext{small power of } ext{parameter})
First to establish Wong--Zakai approximations for time-inhomogeneous regime-switching SDEs.
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…
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Financial Risk and Volatility Modeling
