Convergence rates for backward SDEs driven by Lévy processes

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 <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mi mathvariant="double-struck">L</m:mi> <m:mn>2</m:mn> </m:msup> </m:math> \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.

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Publication Details

Journal
Statistics & Risk Modeling
Published
2026-07-23
DOI
https://doi.org/10.1515/strm-2025-0023
Primary Topic
Economic theories and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Convergence rates for backward SDEs driven by Lévy processes

Antonis Papapantoleon, Alexandros Saplaouras, Chenguang Liu
Statistics & Risk Modeling
Economic theories and models
article

Convergence rates for backward SDEs driven by Lévy processes

Antonis Papapantoleon, Alexandros Saplaouras, Chenguang Liu
article en

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 <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mi mathvariant="double-struck">L</m:mi> <m:mn>2</m:mn> </m:msup> </m:math> \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.

Statistics & Risk Modeling
Institute of Applied Physics (UA), National Technical University of Athens (GR), Delft University of Technology (NL)
Hellenic Foundation for Research and Innovation
Openalex Percentile: Top 100%
Economic theories and models
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