Convergence rates for Euler schemes of Lévy-driven SDE using dynamic cutting
Pub. online: 20 August 2026
Type: Research Article
Open Access
Received
21 April 2025
21 April 2025
Revised
27 July 2026
27 July 2026
Accepted
27 July 2026
27 July 2026
Published
20 August 2026
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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