Multilevel monte carlo implementation for SDEs driven by truncated stable processes

Dereich S., Li S.

Research article in edited proceedings (conference) | Peer reviewed

Abstract

In this article we present an implementation of a multilevel Monte Carlo scheme for Lévy-driven SDEs introduced and analysed in (Dereich and Li, Multilevel Monte Carlo for Lévy-driven SDEs: central limit theorems for adaptive Euler schemes, Ann. Appl. Probab. 26, No. 1, 136-185, 2016 [12]). The scheme is based on direct simulation of Lévy increments.We give an efficient implementation of the algorithm. In particular,we explain direct simulation techniques for Lévy increments. Further, we optimise over the involved parameters and, in particular, the refinement multiplier. This article complements the theoretical considerations of the above reference. We stress that we focus on the case where the frequency of small jumps is particularly high, meaning that the Blumenthal-Getoor index is larger than one.

Details about the publication

Page range3-27
Publishing companySpringer Publishing
Title of seriesInternational Conference on Monte Carlo and Quasi Monte Carlo Methods in Scientific Computing (ISSN: 2194-1009)
Volume of series163
StatusPublished
Release year2016
Language in which the publication is writtenEnglish
Conference11th International Conference on Monte Carlo and Quasi Monte Carlo Methods in Scientific Computing, MCQMC 2014, bel, undefined
ISBN9783319335056
DOI10.1007/978-3-319-33507-0_1
Link to the full texthttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84977470515&origin=inward
KeywordsComputation of expectations; Lévy-driven stochastic differential equation; Multilevel monte carlo; Truncated stable distributions

Authors from the University of Münster

Dereich, Steffen
Professorship for Theory of Probability (Prof. Dereich)
Li, Sangmeng
Professorship for Theory of Probability (Prof. Dereich)