Structural change and spurious persistence in stochastic volatility

dc.contributor.authorKrämer, Walter
dc.contributor.authorMessow, Philip
dc.date.accessioned2011-12-06T11:44:43Z
dc.date.available2011-12-06T11:44:43Z
dc.date.issued2011-12-06
dc.description.abstractWe extend the well established link between structural change and estimated persistence from GARCH to stochastic volatility (SV) models. Whenever structural changes in some model parameters increase the empirical autocorrelations of the squares of the underlying time series, the persistence in volatility implied by the estimated model parameters follows suit. This explains why stochastic volatility often appears to be more persistent when estimated from a larger sample as then the likelihood increases that there might have been some structural change in between.en
dc.identifier.urihttp://hdl.handle.net/2003/29217
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-3067
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;48/2011en
dc.subjectpersistenceen
dc.subjectstochastic volatilityen
dc.subjectstructural changeen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleStructural change and spurious persistence in stochastic volatilityen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
DP_4811_SFB823_Krämer_Messow.pdf
Size:
226.44 KB
Format:
Adobe Portable Document Format
Description:
DNB
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.02 KB
Format:
Item-specific license agreed upon to submission
Description: