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Lower error bounds and optimality of approximation for jump-diffusion SDEs with discontinuous drift

Abstract:
In this paper sharp lower error bounds for numerical methods for jump-diffusion stochastic differential equations (SDEs) with discontinuous drift are proven. The approximation of jump-diffusion SDEs with non-adaptive as well as jump-adapted approximation schemes is studied and lower error bounds of order 3/4 for both classes of approximation schemes are provided. This yields optimality of the transformation-based jump-adapted quasi-Milstein scheme.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s10543-024-01036-7

Authors

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Role:
Author
ORCID:
0000-0001-7870-8605
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-4287-5262
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Role:
Author
ORCID:
0000-0003-2987-2251


Publisher:
Springer
Journal:
BIT Numerical Mathematics More from this journal
Volume:
64
Issue:
4
Pages:
35-35
Article number:
35
Publication date:
2024-09-09
Acceptance date:
2024-08-19
DOI:
EISSN:
1572-9125
ISSN:
0006-3835


Language:
English
Keywords:
Pubs id:
2457764
Local pid:
pubs:2457764
Source identifiers:
W4402357010
Deposit date:
2026-09-19
ARK identifier:
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