How connected is the global sovereign credit risk network?

被引:104
|
作者
Bostanci, Gorkem [1 ]
Yilmaz, Kamil [2 ]
机构
[1] Univ Penn, 133 S 36th St, Philadelphia, PA 19104 USA
[2] Koc Univ, Rumelifeneri Yolu, TR-34450 Istanbul, Turkey
关键词
Sovereign credit risk; Systemic risk; Network estimation; Lasso; Vector autoregression; Variance decomposition; IMPULSE-RESPONSE; CONTAGION; SPILLOVERS; DEFAULT;
D O I
10.1016/j.jbankfin.2020.105761
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:19
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