Publication:
Dynamics of global stock market correlations: the VIX and attention allocation

dc.contributor.authorCeylan, Özcan
dc.contributor.departmentHotel Management
dc.contributor.ozuauthorCEYLAN, Özcan
dc.date.accessioned2022-09-06T08:17:14Z
dc.date.available2022-09-06T08:17:14Z
dc.date.issued2021-01-01
dc.description.abstractThis paper investigates the dynamics of international stock return correlations between the U.S., the U.K., Germany and France. Estimated correlations are modeled in an ARDL framework to evaluate how the market-wide uncertainty in the U.S. affects international stock market comovements. Results show that a shock to the VIX leads to increases in cross-county correlations in the following week and that the correlations tend to decline in the second week that follows the shock. The revealed time pattern of the effect of the VIX may be explained in a behavioral framework through investors’ attention reallocation mechanism.en_US
dc.identifier.doi10.1080/15140326.2021.1949257en_US
dc.identifier.endpage400en_US
dc.identifier.issn1514-0326en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85114879012
dc.identifier.startpage392en_US
dc.identifier.urihttp://hdl.handle.net/10679/7828
dc.identifier.urihttps://doi.org/10.1080/15140326.2021.1949257
dc.identifier.volume24en_US
dc.identifier.wos000695283700001
dc.language.isoengen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofJournal of Applied Economics
dc.relation.publicationcategoryInternational Refereed Journal
dc.rightsrestrictedAccess
dc.subject.keywordsDynamic conditional correlationsen_US
dc.subject.keywordsInvestor attentionen_US
dc.subject.keywordsReturn comovementsen_US
dc.subject.keywordsVIX indexen_US
dc.titleDynamics of global stock market correlations: the VIX and attention allocationen_US
dc.typearticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublicationca93a919-1468-4da7-bcc5-9967156067ec
relation.isOrgUnitOfPublication.latestForDiscoveryca93a919-1468-4da7-bcc5-9967156067ec

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