Convergence rates for Backward SDEs driven by L\'evy processes
Probability
2024-02-05 v1 Optimization and Control
Mathematical Finance
Abstract
We consider L\'evy processes that are approximated by compound Poisson processes and, correspondingly, BSDEs driven by L\'evy 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 L\'evy processes. The rate of convergence of the L\'evy processes depends on the Blumenthal--Getoor index of the process. We derive the rate of convergence for the BSDEs in the -norm and in the Wasserstein distance, and show that, in both cases, this equals the rate of convergence of the corresponding L\'evy process, and thus is optimal.
Keywords
Cite
@article{arxiv.2402.01337,
title = {Convergence rates for Backward SDEs driven by L\'evy processes},
author = {Chenguang Liu and Antonis Papapantoleon and Alexandros Saplaouras},
journal= {arXiv preprint arXiv:2402.01337},
year = {2024}
}
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17 pages