Convergence rates for backward SDEs driven by Lévy processes

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Authors: Chenguang Liu, Antonis Papapantoleon, Alexandros Saplaouras
Cited by: 0
References: 34

Abstract

Abstract We consider Lévy processes that are approximated by compound Poisson processes and, correspondingly, BSDEs driven by Lévy processes that are approximated by BSDEs driven by their compound Poisson approximations. We are interested in the rate of convergence of the approximate BSDEs to the ones driven by the Lévy processes. The rate of convergence of the Lévy processes depends on the Blumenthal–Getoor index of the process. We derive the rate of convergence for the BSDEs in the L 2 \mathbb{L}^{2} -norm and in the Wasserstein distance, and show that, in both cases, this equals the rate of convergence of the corresponding Lévy process, and thus is optimal.

Fields of Study & Subjects

Economic theories and models Stochastic processes and financial applications Capital Investment and Risk Analysis

Publication details

Journal / source
Statistics & Risk Modeling
Publisher
Walter de Gruyter GmbH
Publication date
23 July 2026
Language
EN