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Functional ARCH analysis for a choice of time interval in intraday return via multivariate volatility

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dc.contributor.authorKim, D. H.-
dc.contributor.authorYoon, J. E.-
dc.contributor.authorHwang, S. Y.-
dc.date.available2021-02-22T05:24:27Z-
dc.date.issued2020-06-
dc.identifier.issn1225-066X-
dc.identifier.issn2383-5818-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1452-
dc.description.abstractWe focus on the functional autoregressive conditional heteroscedasticity (fARCH) modelling to analyze intraday volatilities based on high frequency financial time series. Multivariate volatility models are investigated to approximate fARCH(1). A formula of multi-step ahead volatilities for fARCH(1) model is derived. As an application, in implementing fARCH(1), a choice of appropriate time interval for the intraday return is discussed. High frequency KOSPI data analysis is conducted to illustrate the main contributions of the article.-
dc.format.extent12-
dc.language한국어-
dc.language.isoKOR-
dc.publisherKOREAN STATISTICAL SOC-
dc.titleFunctional ARCH analysis for a choice of time interval in intraday return via multivariate volatility-
dc.title.alternative함수형 ARCH 분석 및 다변량 변동성을 통한 일중 로그 수익률 시간 간격 선택-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.5351/KJAS.2020.33.3.297-
dc.identifier.wosid000586858100006-
dc.identifier.bibliographicCitationKOREAN JOURNAL OF APPLIED STATISTICS, v.33, no.3, pp 297 - 308-
dc.citation.titleKOREAN JOURNAL OF APPLIED STATISTICS-
dc.citation.volume33-
dc.citation.number3-
dc.citation.startPage297-
dc.citation.endPage308-
dc.type.docTypeArticle-
dc.identifier.kciidART002606829-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassesci-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordPlusVARIANCE-
dc.subject.keywordAuthorfARCH-
dc.subject.keywordAuthorhigh frequency time series-
dc.subject.keywordAuthormultivariate volatility-
dc.identifier.urlhttp://kiss.kstudy.com./thesis/thesis-view.asp?key=3811598-
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