A study on the dynamics of sovereign risk spillover networks:Evidence from the countries along the Belt and Road

被引：0
|
作者：
Ma X. [1 ]
Wang J. [1 ,2 ]
Sun X. [1 ,2 ]
Li J. [1 ,2 ]
机构：
[1] School of Economics and Management, University of Chinese Academy of Sciences, Beijing
[2] Institutes of Science and Development, Chinese Academy of Sciences, Beijing
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2019年 / 39卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Dynamics; Sovereign risk; Spillover network; The Belt and Road;
D O I：
10.12011/1000-6788-2018-1501-10
中图分类号：
学科分类号：
摘要：
With the deepening of the globalization of financial markets and the closer political connections between countries in the world, the transnational contagion of sovereign risk has been confirmed by reality. Under the background of the "Belt and Road Initiative", this paper investigates node characteristics and structural characteristics of sovereign risk spillover network among belt-road countries from the perspective of sovereign risk networking and regional grouping using spillover index approach based on FEV (forecast error variance) decomposition. We find that the overall spillover effect of the 25 countries alongside the "Belt and Road" is relatively high, and the Central and Eastern European countries is dominant in the sovereign risk spillover network of countries alongside the route. In addition, the overall sovereign risk spillover effect alongside the route shows obvious dynamic characteristics and phase characteristics over time. The sovereign risk spillover effect between China and ASEAN (Association of Southeast Asian Nations) group is always the strongest at any stage, while the Central and Eastern Europe is the regional group of countries that can well reveal changes in the overall sovereign risk spillover effect alongside the route. All these findings can help macro policy-makers and investors participating in the sovereign debt and related derivatives markets understand the essential characteristics and internal structure of the sovereign risk spillover network along the "Belt and Road". © 2019, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
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页码：1363 / 1372
页数：9
相关论文
共 26 条
  • [1] Annaert J., Ceuster M.D., Roy P.V., Et al., What determines Euro area bank CDS spreads?, Journal of International Money & Finance, 32, 1, pp. 444-461, (2013)
  • [2] Badaoui S., Cathcart L., El-Jahel L., Do sovereign credit default swaps represent a clean measure of sovereign default risk? A factor model approach, Journal of Banking & Finance, 37, 7, pp. 2392-2407, (2013)
  • [3] Blommestein H., Eijffinger S., Qian Z., Regime-dependent determinants of Euro area sovereign CDS spreads, Journal of Financial Stability, 22, pp. 10-21, (2016)
  • [4] Bouri E., Boyrie M.E.D., Pavlova I., Volatility transmission from commodity markets to sovereign CDS spreads in emerging and frontier countries, International Review of Financial Analysis, 49, pp. 155-165, (2017)
  • [5] Chen H.Y., Chen S.S., Quality of government institutions and spreads on sovereign credit default swaps, Journal of International Money & Finance, 87, pp. 82-95, (2018)
  • [6] Santis R.A.D., The euro area sovereign debt crisis: Identifying flight-to-liquidity and the spillover mechanisms, Journal of Empirical Finance, 26, 2, pp. 150-170, (2014)
  • [7] Yang L., Yang L., Hamori S., Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries, International Review of Financial Analysis, 59, pp. 19-34, (2018)
  • [8] Bouri E., Jalkh N., Roubaud D., Commodity volatility shocks and BRIC sovereign risk: A GARCH-quantile approach, Resources Policy, (2017)
  • [9] Sharma S.S., Thuraisamy K., Oil price uncertainty and sovereign risk: Evidence from Asian economies, Journal of Asian Economics, 28, C, pp. 51-57, (2013)
  • [10] Pavlova I., Boyrie M.E.D., Parhizgari A.M., A dynamic spillover analysis of crude oil effects on the sovereign credit risk of exporting countries, Quarterly Review of Economics & Finance, 68, pp. 10-22, (2018)
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