Approximation and error analysis of forward-backward SDEs driven by general Lévy processes using shot noise series representations

dc.contributor.authorMassing, Till
dc.date.accessioned2021-11-28T16:07:48Z
dc.date.available2021-11-28T16:07:48Z
dc.date.issued2021
dc.description.abstractWe consider the simulation of a system of decoupled forward-backward stochastic differential equations (FBSDEs) driven by a pure jump Lévy process L and an independent Brownian motion B. We allow the Lévy process L to have an infinite jump activity. Therefore, it is necessary for the simulation to employ a finite approximation of its Lévy measure. We use the generalized shot noise series representation method by Rosinski (2001) to approximate the driving Lévy process L. We compute the Lp error, p > 2, between the true and the approximated FBSDEs which arises from the finite truncation of the shot noise series (given sufficient conditions for existence and uniqueness of the FBSDE). We also derive the Lp error between the true solution and the discretization of the approximated FBSDE using an appropriate backward Euler scheme.de
dc.identifier.urihttp://hdl.handle.net/2003/40577
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22446
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;25/2021
dc.subjectdecoupled forward-backward SDEs with jumpsen
dc.subjectEuler Schemeen
dc.subjectDiscrete-time approximationen
dc.subjectshot noise series representationen
dc.subjectLévy processesen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleApproximation and error analysis of forward-backward SDEs driven by general Lévy processes using shot noise series representationsen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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