Publication: How connected is the global sovereign credit risk network?
| dc.contributor.coauthor | Bostanci, Gorkem | |
| dc.contributor.department | Department of Economics | |
| dc.contributor.facultymember | Yes | |
| dc.contributor.kuauthor | Yılmaz, Kamil | |
| dc.contributor.schoolcollegeinstitute | College of Administrative Sciences and Economics | |
| dc.date.accessioned | 2024-11-09T23:39:56Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | This 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.fulltext | No | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.openaccess | YES | |
| dc.description.peerreviewstatus | N/A | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | TÜBİTAK | |
| dc.description.sponsorship | Both 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.studentonlypublication | No | |
| dc.description.studentpublication | No | |
| dc.description.version | N/A | |
| dc.identifier.WoSQuartile | Q1 | |
| dc.identifier.doi | 10.1016/j.jbankfin.2020.105761 | |
| dc.identifier.eissn | 1872-6372 | |
| dc.identifier.embargo | N/A | |
| dc.identifier.grantno | 111K500 | |
| dc.identifier.issn | 0378-4266 | |
| dc.identifier.scopus | 2-s2.0-85078954522 | |
| dc.identifier.uri | https://doi.org/10.1016/j.jbankfin.2020.105761 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/13199 | |
| dc.identifier.volume | 113 | |
| dc.identifier.wos | 000528035200024 | |
| dc.keywords | Sovereign credit risk | |
| dc.keywords | Systemic risk | |
| dc.keywords | Network estimation | |
| dc.keywords | Lasso | |
| dc.keywords | Vector autoregression | |
| dc.keywords | Variance decomposition | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | Journal of Banking and Finance | |
| dc.relation.openaccess | N/A | |
| dc.relation.project | Varyans Ayrıştırmasının Ağ Topolojisi ve Mali Piyasalar Arasındaki Bağlanmışlığın Ölçümü | |
| dc.rights | N/A | |
| dc.subject | Financial econometrics | |
| dc.subject | International finance | |
| dc.subject | Financial economics | |
| dc.subject | Macroeconomics | |
| dc.title | How connected is the global sovereign credit risk network? | |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
| local.contributor.kuauthor | Yılmaz, Kamil | |
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