Euler-Maruyama scheme for SDE driven by L\'evy process with H\"older drift
Yanfang Li, Guohuan Zhao

TL;DR
This paper analyzes the Euler-Maruyama numerical scheme for stochastic differential equations driven by Lévy processes with Hölder continuous drifts, providing error estimates applicable to various stable processes.
Contribution
It derives $L^p$-error bounds for the Euler-Maruyama scheme in SDEs driven by Lévy processes with Hölder drifts, covering a wide class of stable noises.
Findings
Error bounds for Euler-Maruyama scheme derived
Applicable to all nondegenerate $eta$-stable processes
Enhanced understanding of numerical approximation for Lévy-driven SDEs
Abstract
This study focuses on approximating solutions to SDEs driven by L\'evy processes with H\"older continuous drifts using the Euler-Maruyama scheme. We derive the -error for a broad range of driven noises, including all nondegenerate -stable processes ().
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics
