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.
Authors
- Antonis Papapantoleon (ORCID: https://orcid.org/0000-0002-9504-2822)
- Alexandros Saplaouras (ORCID: https://orcid.org/0000-0003-4968-1380)
- Chenguang Liu (ORCID: https://orcid.org/0009-0002-3635-257X)
Institutions
- Institute of Applied Physics (UA)
- National Technical University of Athens (GR)
- Delft University of Technology (NL)
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
Funders
- Hellenic Foundation for Research and Innovation