On the origins of high persistence in GARCH-models

dc.contributor.authorAzamo, Baudouin Tamezede
dc.contributor.authorChristou, Konstantinosde
dc.contributor.authorKrämer, Walterde
dc.date.accessioned2009-10-29T10:14:30Z
dc.date.available2009-10-29T10:14:30Z
dc.date.issued2009-06de
dc.description.abstractThe estimated persistence in various types of GARCH-models is known to be too large when the parameters of the model undergo structural changes somewhere in the sample. The present paper adds further insights into this phenomenon for the Baillie and Chung (2001) minimum distance estimates of the model parameters. While previous research has focused on the effects of changes in the GARCH-parameters, we investigate here the consequences of a changing mean.en
dc.identifier.urihttp://hdl.handle.net/2003/26486
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-12666
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823; 12/2009de
dc.subjectGARCHen
dc.subjectlong memoryen
dc.subjectminimum distance estimatesen
dc.subjectstructural changeen
dc.subject.ddc310de
dc.subject.ddc330de
dc.subject.ddc620de
dc.titleOn the origins of high persistence in GARCH-modelsen
dc.typeTextde
dc.type.publicationtypereportde
dcterms.accessRightsopen access

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