On the origins of high persistence in GARCH-models
dc.contributor.author | Azamo, Baudouin Tameze | de |
dc.contributor.author | Christou, Konstantinos | de |
dc.contributor.author | Krämer, Walter | de |
dc.date.accessioned | 2009-10-29T10:14:30Z | |
dc.date.available | 2009-10-29T10:14:30Z | |
dc.date.issued | 2009-06 | de |
dc.description.abstract | The 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.uri | http://hdl.handle.net/2003/26486 | |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-12666 | |
dc.language.iso | en | de |
dc.relation.ispartofseries | Discussion Paper / SFB 823; 12/2009 | de |
dc.subject | GARCH | en |
dc.subject | long memory | en |
dc.subject | minimum distance estimates | en |
dc.subject | structural change | en |
dc.subject.ddc | 310 | de |
dc.subject.ddc | 330 | de |
dc.subject.ddc | 620 | de |
dc.title | On the origins of high persistence in GARCH-models | en |
dc.type | Text | de |
dc.type.publicationtype | report | de |
dcterms.accessRights | open access |
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