On detecting changes in the jumps of arbitrary size of a time-continuous stochastic process

dc.contributor.authorHoffmann, Michael
dc.date.accessioned2018-03-02T12:37:55Z
dc.date.available2018-03-02T12:37:55Z
dc.date.issued2018
dc.description.abstractThis paper introduces test and estimation procedures for abrupt and gradual changes in the entire jump behaviour of a discretely observed Ito semimartingale. In contrast to existing work we analyse jumps of arbitrary size which are not restricted to a minimum height. Our methods are based on weak convergence of a truncated sequential empirical distribution function of the jump characteristic of the underlying Ito semimartingale. Critical values for the new tests are obtained by a multiplier bootstrap approach and we investigate the performance of the tests also under local alternatives. An extensive simulation study shows the finite-sample properties of the new procedures.en
dc.identifier.urihttp://hdl.handle.net/2003/36786
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-18787
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;4/2018
dc.subjectLévy measureen
dc.subjectgradual changesen
dc.subjectchange pointsen
dc.subjectmultiplier bootstrapen
dc.subjectweak convergenceen
dc.subjectempirical processesen
dc.subjecttransition kernelen
dc.subjectjump compensatoren
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleOn detecting changes in the jumps of arbitrary size of a time-continuous stochastic processen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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