How connected is the global sovereign credit risk network?

Gorkem Bostanci and Kamil Yilmaz ()

Journal of Banking & Finance, 2020, vol. 113, issue C

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.

Keywords: Sovereign credit risk; Systemic risk; Network estimation; Lasso; Vector autoregression; Variance decomposition (search for similar items in EconPapers)
JEL-codes: C32 F34 G15 G23 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (84)

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Related works:
Working Paper: How Connected is the Global Sovereign Credit Risk Network? (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbfina:v:113:y:2020:i:c:s0378426620300285

DOI: 10.1016/j.jbankfin.2020.105761

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