Small sample properties of GARCH(1,1) estimator under non-normality

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dc.contributor.authorNoh, Jaesunko
dc.date.accessioned2013-03-02T13:41:02Z-
dc.date.available2013-03-02T13:41:02Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-
dc.identifier.citationECONOMICS LETTERS, v.55, no.2, pp.161 - 164-
dc.identifier.issn0165-1765-
dc.identifier.urihttp://hdl.handle.net/10203/73786-
dc.description.abstractSmall sample properties of Lagrange multiplier (LM), likelihood ratio (LR) and Wald test statistics are studied for GARCH(1,1) and IGARCH(1,1) models. Under non-normally distributed errors, it is shown that the robust LM test statistic performs best. (C) 1997 Elsevier Science S.A.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE SA LAUSANNE-
dc.subjectCONDITIONAL HETEROSKEDASTICITY-
dc.titleSmall sample properties of GARCH(1,1) estimator under non-normality-
dc.typeArticle-
dc.identifier.wosidA1997XZ77600002-
dc.identifier.scopusid2-s2.0-0031285271-
dc.type.rimsART-
dc.citation.volume55-
dc.citation.issue2-
dc.citation.beginningpage161-
dc.citation.endingpage164-
dc.citation.publicationnameECONOMICS LETTERS-
dc.identifier.doi10.1016/S0165-1765(97)00072-4-
dc.contributor.localauthorNoh, Jaesun-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorGARCH models-
dc.subject.keywordAuthorrobust statistics-
dc.subject.keywordAuthorhypothesis testing-
dc.subject.keywordPlusCONDITIONAL HETEROSKEDASTICITY-
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