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Sequential change-point detection in time series models with conditional heteroscedasticity

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dc.contributor.authorLee, Youngmi-
dc.contributor.authorKim, Sungdon-
dc.contributor.authorOh, Haejune-
dc.date.accessioned2024-02-20T08:30:12Z-
dc.date.available2024-02-20T08:30:12Z-
dc.date.issued2024-03-
dc.identifier.issn0165-1765-
dc.identifier.issn1873-7374-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/69669-
dc.description.abstractIn this study, we investigate a sequential procedure for the early detection of parameter changes in conditionally heteroscedastic time series models. We introduce the detectors based on the cumulative sum of score vectors and residuals for this procedure. The asymptotic properties of the monitoring procedures are established under the null and alternative hypotheses. Simulation results are provided for illustration. © 2024 Elsevier B.V.-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleSequential change-point detection in time series models with conditional heteroscedasticity-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.1016/j.econlet.2024.111597-
dc.identifier.scopusid2-s2.0-85184614784-
dc.identifier.wosid001183493400001-
dc.identifier.bibliographicCitationEconomics Letters, v.236-
dc.citation.titleEconomics Letters-
dc.citation.volume236-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalWebOfScienceCategoryEconomics-
dc.subject.keywordAuthorAsymmetric GARCH-
dc.subject.keywordAuthorConditionally heteroscedastic time series-
dc.subject.keywordAuthorGARCH-type models-
dc.subject.keywordAuthorParameter change-
dc.subject.keywordAuthorSequential detection-
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