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

dc.contributor.coauthorBostanci, Gorkem
dc.contributor.departmentDepartment of Economics
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.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [111K500]
dc.description.sponsorshipBecker Friedman Institute
dc.description.sponsorshipMacro Financial Modeling project For constructive comments and guidance we thank Geert Bekaert, the manag-ing editor, Harald Sander, Joscha Beckmann and Stefanie Kleimeier, the guest editors, and three anonymous referees. For helpful discussion and comments we thank Umut Akovali, Turan Bali, Christian Brownlees, Cem Cakmakli, Mert Demirer, Francis X. Diebold, Peter Feldhutter, Umut Gokcen, Christian Julliard, Han Ozsoylev, Thierry Post and Tanju Yorulmazer as well as the participants of the Financial Globaliza-tion and Its Spillovers Conference at TH Koln and Maastricht University, the Third Economic Networks and Finance Conference at the London School Economics and the Second Vienna Workshop on High Dimensional Time Series in Macroeconomics and Finance. Both authors thank the Scientific and Technological Research Coun-cil 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.volume113
dc.identifier.doi10.1016/j.jbankfin.2020.105761
dc.identifier.eissn1872-6372
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.wos528035200024
dc.keywordsSovereign credit risk
dc.keywordsSystemic risk
dc.keywordsNetwork estimation
dc.keywordsLasso
dc.keywordsVector autoregression
dc.keywordsVariance decomposition impulse-response
dc.keywordsContagion
dc.keywordsSpillovers
dc.keywordsDefault
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofJournal of Banking & Finance
dc.subjectBusiness
dc.subjectFinance
dc.subjectEconomics
dc.titleHow connected is the global sovereign credit risk network?
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorYılmaz, Kamil
local.publication.orgunit1College of Administrative Sciences and Economics
local.publication.orgunit2Department of Economics
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