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Extended Constant Conditional Correlation (ECCC) Model for Multivariate GARCH Time Series: an Illustration

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dc.contributor.author이승연-
dc.contributor.author황선영-
dc.date.available2021-02-22T10:52:02Z-
dc.date.issued2014-12-
dc.identifier.issn1225-066X-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/5662-
dc.description.abstractConstant conditional correlation (CCC) is frequently employed for parsimony in the field of multivariate GARCH time series. An extended-CCC (ECCC) model is further developed in order to allow interactions between multivariate volatilities. The paper introduces both CCC model and ECCC model to the domestic financial time series. The CCC and ECCC models are fitted and then compared with each other through various multivatiate time series.-
dc.format.extent10-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국통계학회-
dc.titleExtended Constant Conditional Correlation (ECCC) Model for Multivariate GARCH Time Series: an Illustration-
dc.title.alternative다변량 GARCH 모형의 CCC 및 ECCC 비교분석-
dc.typeArticle-
dc.publisher.locationSouth Korea-
dc.identifier.doi10.5351/KJAS.2014.27.7.1219-
dc.identifier.bibliographicCitation응용통계연구, v.27, no.7, pp 1219 - 1228-
dc.citation.title응용통계연구-
dc.citation.volume27-
dc.citation.number7-
dc.citation.startPage1219-
dc.citation.endPage1228-
dc.identifier.kciidART001952283-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorConstant conditional correlation (CCC)-
dc.subject.keywordAuthorextended-CCC (ECCC)-
dc.subject.keywordAuthorinteractions.-
dc.subject.keywordAuthor상수조건부상관-
dc.subject.keywordAuthor확장된 상수조건부상관-
dc.subject.keywordAuthor변동성간의 상호작용-
dc.identifier.urlhttp://kiss.kstudy.com/thesis/thesis-view.asp?key=3290699-
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