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dc.contributor.authorBEKIROS, Stelios D.
dc.contributor.authorSHAHZAD, Syed Jawad Hussain
dc.contributor.authorJAMMAZI, Rania
dc.contributor.authorALOUI, Chaker
dc.date.accessioned2020-02-10T16:07:29Z
dc.date.available2020-02-10T16:07:29Z
dc.date.issued2020
dc.identifier.citationApplied economics, 2020, Vol. 52, No. 8, pp. 851-865en
dc.identifier.issn0003-6846
dc.identifier.issn1466-4283
dc.identifier.urihttps://hdl.handle.net/1814/65998
dc.descriptionPublished online: 09 Sep 2019en
dc.description.abstractWe identify the network structure of spillovers and time-varying spillover intensities across European sovereign credit markets proposing a novel Copula-Granger causality based structural vector auto-regressive (SVAR) approach. Via the proposed framework, we examine the topological and time-varying spillover and contagion between 13 European credit markets, which is found to be consistent with crisis events. The heterogeneity in directional impacts could be useful in revealing contagion effects across the credit markets. We also find that newly proposed surprise and uncertainty indexes, among other macro-economic variables, significantly explain the spillover dynamics.en
dc.language.isoen
dc.publisherRoutledge Journals, Taylor & Francis Ltden
dc.relation.ispartofApplied economicsen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectCredit marketsen
dc.subjectCopulaen
dc.subjectEuropeen
dc.subjectgraph theoryen
dc.subjectspilloversen
dc.subjectcontagionen
dc.titleSpillovers across European sovereign credit markets and role of surprise and uncertaintyen
dc.typeArticle
dc.identifier.doi10.1080/00036846.2019.1659930
dc.identifier.volume52
dc.identifier.startpage851
dc.identifier.endpage865
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dc.identifier.issue8


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