Stochastic calculus for convoluted Lévy processes

dc.creatorBender, Christian
dc.creatorMarquardt, Tina
dc.date2008-05-14
dc.date.accessioned2026-07-07T12:18:52Z
dc.date.available2026-07-07T12:18:52Z
dc.descriptionWe develop a stochastic calculus for processes which are built by convoluting a pure jump, zero expectation Lévy process with a Volterra-type kernel. This class of processes contains, for example, fractional Lévy processes as studied by Marquardt [Bernoulli 12 (2006) 1090--1126.] The integral which we introduce is a Skorokhod integral. Nonetheless, we avoid the technicalities from Malliavin calculus and white noise analysis and give an elementary definition based on expectations under change of measure. As a main result, we derive an Itô formula which separates the different contributions from the memory due to the convolution and from the jumps.
dc.descriptionPublished in at http://dx.doi.org/10.3150/07-BEJ115 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
dc.identifierhttps://arxiv.org/abs/0805.2084
dc.identifierhttp://arxiv.org/abs/0805.2084
dc.identifierBernoulli 2008, Vol. 14, No. 2, 499-518
dc.identifierdoi:10.3150/07-BEJ115
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212561
dc.subjectProbability
dc.titleStochastic calculus for convoluted Lévy processes
dc.typetext

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