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International transmission of risk factor movements: The case of developed markets

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dc.contributor.authorChoi, Hyung-Suk-
dc.contributor.authorRyu, Doojin-
dc.contributor.authorYang, Heejin-
dc.date.available2020-09-14T09:05:25Z-
dc.date.created2018-09-13-
dc.date.issued2018-03-
dc.identifier.issn1029-3523-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/39240-
dc.description.abstractUnder the Carhart four-factor system, this study examines the international transmission mechanism among country-specific risk factors by focusing on the cross-border transmission of factor innovation. We find that international stock markets are interrelated with respect to market, size, value and momentum factors, and developed countries play different roles in each factor system. Moreover, the United States (US) plays a dominant role in the market factor system, with US innovations in terms of size and momentum factors being significantly transmitted to other markets, whereas its influence on the value factor seems marginal. The United Kingdom is found to be the most influential market in the size factor system. Finally, Japanese value factor innovations better explain Hong Kong variance than US value factor innovations. Our results indicate that international exposure to risk factors can be exploited to implement effective hedging strategies and manage globally diversified portfolio risks.-
dc.language영어-
dc.language.isoen-
dc.publisherINVESTMENT ANALYSTS SOC SOUTHERN AFRICA-
dc.relation.isPartOfINVESTMENT ANALYSTS JOURNAL-
dc.subjectSTOCK RETURNS-
dc.subjectINVESTOR SENTIMENT-
dc.subjectEMERGING MARKET-
dc.subjectSIZE-
dc.subjectJSE-
dc.subjectDYNAMICS-
dc.subjectMOMENTUM-
dc.subjectINDEXES-
dc.subjectSYSTEMS-
dc.subjectGROWTH-
dc.titleInternational transmission of risk factor movements: The case of developed markets-
dc.typeArticle-
dc.identifier.doi10.1080/10293523.2018.1457836-
dc.type.rimsART-
dc.identifier.bibliographicCitationINVESTMENT ANALYSTS JOURNAL, v.47, no.2, pp.111 - 126-
dc.description.journalClass1-
dc.identifier.wosid000437346300003-
dc.identifier.scopusid2-s2.0-85050924783-
dc.citation.endPage126-
dc.citation.number2-
dc.citation.startPage111-
dc.citation.titleINVESTMENT ANALYSTS JOURNAL-
dc.citation.volume47-
dc.contributor.affiliatedAuthorYang, Heejin-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorforecast error variance-
dc.subject.keywordAuthorimpulse response function-
dc.subject.keywordAuthorinternational transmission-
dc.subject.keywordAuthormulti-factor model-
dc.subject.keywordAuthorvector autoregression-
dc.subject.keywordPlusSTOCK RETURNS-
dc.subject.keywordPlusINVESTOR SENTIMENT-
dc.subject.keywordPlusEMERGING MARKET-
dc.subject.keywordPlusSIZE-
dc.subject.keywordPlusJSE-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusMOMENTUM-
dc.subject.keywordPlusINDEXES-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordPlusGROWTH-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
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