Estimating drift parameters in a fractional Ornstein Uhlenbeck Process with periodic mean

dc.contributor.authorDehling, Herold
dc.contributor.authorFranke, Brice
dc.contributor.authorWoerner, Jeannette H.C.
dc.date.accessioned2015-10-07T13:21:24Z
dc.date.available2015-10-07T13:21:24Z
dc.date.issued2015
dc.description.abstractWe construct a least squares estimator for the drift parameters of a fractional Ornstein Uhlenbeck process with periodic mean function and long range dependence. For this estimator we prove consistency and asymptotic normality. In contrast to the classical fractional Ornstein Uhlenbeck process without periodic mean function the rate of conver- gence is slower depending on the Hurst parameter H, namely n1-H.en
dc.identifier.urihttp://hdl.handle.net/2003/34263
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-16340
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;34/2015en
dc.subjectfractional Ornstein Uhlenbeck processen
dc.subjectleast squares estimatoren
dc.subjectperiodic mean functionen
dc.subjectlong range dependenceen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleEstimating drift parameters in a fractional Ornstein Uhlenbeck Process with periodic meanen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.dnb.deposittruede

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