Publication:
How connected is the global sovereign credit risk network?

dc.contributor.coauthorBostanci, Gorkem
dc.contributor.departmentDepartment of Economics
dc.contributor.facultymemberYes
dc.contributor.kuauthorYılmaz, Kamil
dc.contributor.schoolcollegeinstituteCollege of Administrative Sciences and Economics
dc.date.accessioned2024-11-09T23:39:56Z
dc.date.issued2020
dc.description.abstractThis paper estimates the global network structure of sovereign credit risk by applying the Diebold-Yilmaz connectedness methodology on sovereign credit default swaps (SCDSs). The level of credit risk connectedness among sovereigns, which is quite high, is comparable to the connectedness among stock markets and foreign exchange markets. In the aftermath of the recent financial crises that originated in developed countries, emerging market countries have played a crucial role in the transmission of sovereign credit risk, while developed countries and debt-ridden developing countries have played marginal roles. Secondary regressions show that both trade and capital flows are important determinants of pairwise connectedness across countries. The capital flows became increasingly important after 2013, while the effect of trade flows decreased during the crisis and did not recover afterwards.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipBoth authors thank the Scientific and Technological Research Council of Turkey (TUBITAK) for financial support through Grant No. 111K500. Gorkem Bostanci thanks Becker Friedman Institute and Macro Financial Modeling project for financial support. The usual disclaimer applies.
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.WoSQuartileQ1
dc.identifier.doi10.1016/j.jbankfin.2020.105761
dc.identifier.eissn1872-6372
dc.identifier.embargoN/A
dc.identifier.grantno111K500
dc.identifier.issn0378-4266
dc.identifier.scopus2-s2.0-85078954522
dc.identifier.urihttps://doi.org/10.1016/j.jbankfin.2020.105761
dc.identifier.urihttps://hdl.handle.net/20.500.14288/13199
dc.identifier.volume113
dc.identifier.wos000528035200024
dc.keywordsSovereign credit risk
dc.keywordsSystemic risk
dc.keywordsNetwork estimation
dc.keywordsLasso
dc.keywordsVector autoregression
dc.keywordsVariance decomposition
dc.language.isoeng
dc.publisherElsevier
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofJournal of Banking and Finance
dc.relation.openaccessN/A
dc.relation.projectVaryans Ayrıştırmasının Ağ Topolojisi ve Mali Piyasalar Arasındaki Bağlanmışlığın Ölçümü
dc.rightsN/A
dc.subjectFinancial econometrics
dc.subjectInternational finance
dc.subjectFinancial economics
dc.subjectMacroeconomics
dc.titleHow connected is the global sovereign credit risk network?
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorYılmaz, Kamil
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