Publication:
Volatility transmission among Latin American stock markets under structural breaks

dc.contributor.authorKAYA SOYLU, PINAR
dc.contributor.authorsGuloglu, Bulent; Kaya, Pinar; Aydemir, Resul
dc.date.accessioned2022-03-12T20:28:07Z
dc.date.accessioned2026-01-11T06:12:50Z
dc.date.available2022-03-12T20:28:07Z
dc.date.issued2016
dc.description.abstractThe paper investigates the volatility spillovers among five major Latin American (LA) stock markets under the presence of the structural breaks in variance. We employ a multivariate dynamic conditional correlation (DCC GARCH) model allowing for structural breaks in variance. The dynamic correlations show that volatility spillover effects among the markets are not strong. Causality in mean tests indicate one way causality from BOVESPA to all markets, whereas causality in variance tests indicate one way causality only from BOVESPA to IPSA. These findings suggest that while the markets in the sample are interdependent, there is not enough statistical evidence to infer the contagion effects among the markets. (C) 2016 Elsevier B.V. All rights reserved.
dc.identifier.doi10.1016/j.physa.2016.06.093
dc.identifier.eissn1873-2119
dc.identifier.issn0378-4371
dc.identifier.urihttps://hdl.handle.net/11424/233853
dc.identifier.wosWOS:000381841900030
dc.language.isoeng
dc.publisherELSEVIER
dc.relation.ispartofPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectVolatility spillovers
dc.subjectBreaks in variance
dc.subjectDCC-GARCH
dc.subjectCausality
dc.subjectSPILLOVERS
dc.subjectCAUSALITY
dc.subjectVARIANCE
dc.titleVolatility transmission among Latin American stock markets under structural breaks
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage340
oaire.citation.startPage330
oaire.citation.titlePHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
oaire.citation.volume462

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