Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/42544
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dc.contributor.authorFernández-Rodríguez, Fernandoen_US
dc.contributor.authorGómez-Puig, Martaen_US
dc.contributor.authorSosvilla-Rivero, Simónen_US
dc.date.accessioned2018-11-20T13:04:58Z-
dc.date.available2018-11-20T13:04:58Z-
dc.date.issued2016en_US
dc.identifier.issn1042-4431en_US
dc.identifier.urihttp://hdl.handle.net/10553/42544-
dc.description.abstractWe measure the connectedness in EMU sovereign market volatility between April 1999 and January 2014, monitoring stress transmission and identifing episodes of intensive spillovers from one country to the others. We first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period using a framework recently proposed by Diebold and Yilmaz (2014). Second, we use a dynamic analysis to evaluate the net directional connectedness for each country and apply panel model techniques to investigate its determinants. Finally, we examine the time-varying behaviour of net pair-wise directional connectedness at different stages of the recent sovereign debt crisis.en_US
dc.languageengen_US
dc.relation.ispartofJournal of International Financial Markets, Institutions and Moneyen_US
dc.sourceJournal of International Financial Markets, Institutions and Money[ISSN 1042-4431],v. 43, p. 126-145en_US
dc.subject531102 Gestión financieraen_US
dc.subject53 Ciencias económicasen_US
dc.subject.otherConnectedness analysisen_US
dc.subject.otherEuro areaen_US
dc.subject.otherMarket linkagesen_US
dc.subject.otherSovereign debt crisisen_US
dc.subject.otherVariance decompositionen_US
dc.subject.otherVector autoregressionen_US
dc.titleUsing connectedness analysis to assess financial stress transmission in EMU sovereign bond market volatilityen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.intfin.2016.04.005
dc.identifier.scopus84975138784-
dc.identifier.isi000380312500009
dc.contributor.authorscopusid6603053452
dc.contributor.authorscopusid11939316300
dc.contributor.authorscopusid6701863324
dc.description.lastpage145-
dc.description.firstpage126-
dc.relation.volume43-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngid1514720
dc.contributor.daisngid1674945
dc.contributor.daisngid514725
dc.contributor.wosstandardWOS:Fernandez-Rodriguez, F
dc.contributor.wosstandardWOS:Gomez-Puig, M
dc.contributor.wosstandardWOS:Sosvilla-Rivero, S
dc.date.coverdateJulio 2016
dc.identifier.ulpgces
dc.description.sjr1,008
dc.description.jcr1,379
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.ssciSSCI
dc.description.erihplusERIH PLUS
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.orcid0000-0002-8808-9286-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameFernández Rodríguez,Fernando Emilio-
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