Estimating the quadratic covariation of an asynchronously observed semimartingale with jumps

dc.contributor.authorBibinger, Markus
dc.contributor.authorVetter, Mathias
dc.date.accessioned2013-05-15T10:28:40Z
dc.date.available2013-05-15T10:28:40Z
dc.date.issued2013-05-15
dc.description.abstractWe consider estimation of the quadratic (co)variation of a semimartingale from discrete observations which are irregularly spaced under high-frequency asymptotics. In the univariate setting, results from Jacod (2008) are generalized to the case of irregular observations. In the two-dimensional setup under non-synchronous observations, we derive a stable central limit theorem for the estimator by Hayashi and Yoshida (2005) in the presence of jumps. We reveal how idiosyncratic and simultaneous jumps affect the asymptotic distribution. Observation times generated by Poisson processes are explicitly discussed.en
dc.identifier.urihttp://hdl.handle.net/2003/30317
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5486
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;20/2013
dc.subjectasynchronous observationsen
dc.subjectco-jumpsen
dc.subjectquadratic covariationen
dc.subjectstatistics of semimartingalesen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleEstimating the quadratic covariation of an asynchronously observed semimartingale with jumpsen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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