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Convergence rates for Euler schemes of Lévy-driven SDE using dynamic cutting
Victoria Knopova ORCID icon link to view author Victoria Knopova details   Denis Platonov ORCID icon link to view author Denis Platonov details  

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https://doi.org/10.15559/26-VMSTA305
Pub. online: 20 August 2026      Type: Research Article      Open accessOpen Access

Received
21 April 2025
Revised
27 July 2026
Accepted
27 July 2026
Published
20 August 2026

Abstract

We introduce a dynamic cutting approach for the numerical approximation of Lévy-driven stochastic differential equations. The key idea is to remove small jumps according to a time-dependent threshold, so that the retained jumps form a time-inhomogeneous compound Poisson process. We derive ${L^{p}}$-strong convergence rates for the adjusted Euler scheme. Numerical experiments at matched computational cost compare the dynamic cutting scheme with the classical Asmussen–Rosiński truncation and demonstrate consistently smaller strong errors when the time-dependent jump coefficient has a singularity at $t=0$.

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Keywords
Lévy-driven SDE Euler-Maruyama scheme dynamic cutting

MSC2020
60H10 60H35 60G51

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