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A Study of Sovereign Debt Risk Cross-Country Spillover: New Evidence from the Frequency Domain |
LI Zheng, LIU Qi, LU Yanchen
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School of Finance, Tianjin University of Finance and Economics; School of Economics, Nankai University |
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Abstract In recent years, international institutions have successively warned of the risks of global sovereign debt, arousing great concern among international investors and regulatory authorities. On one hand, monetary and fiscal easing has been conducted to promote economic recovery around the world since the financial crisis of 2008, which has resulted in the expansion of sovereign debt and a heavier debt burden. On the other hand, uncertainties over the global economy, the costs of financing, and the pressures for debt-repayment have all increased in the complex and volatile international environment. In this context, the sovereign debt risk faced by each country rises not only on its own, but also due to the spillovers from other countries. Existing studies have demonstrated that economic fundamentals and market factors are the main determinants of sovereign debt risk, and while the former mainly affects the long-term sovereign debt risk, the latter mostly influences the short-term risk. Therefore, the cross-country spillover of sovereign debt risk which arises due to the connectedness of economic fundamentals and market factors between nations should also show different short-term and long-term effects. Therefore, in considering the duration of sovereign debt risk spillover among countries, this study investigates both the short-term and long-term cross-country spillover effects of sovereign debt risk in terms of the frequency domain. The analysis uses the BK spillover index approach, which is based on the spectral representation of generalized forecast error variance decomposition (Baruník and Krehlík, 2018). Our study is based on a sample of 14 countries whose GDP rank among the top 20 in the world from November of 2008 to June of 2019. The sovereign debt risk of these countries is measured by the sovereign CDS spreads. We find several significant patterns. First, the cross-country spillover effects of sovereign debt risk are significant in both short and long terms, and total spillover in the time domain is mainly driven by short-term risk spillover. Second, we find a linear relationship between short-term and long-term risk output levels, but concerning risk input, different types of countries present different relationships and form two main clusters. The short-term risk input is higher than the long-term risk input for emerging market countries that have strong short-term vulnerability. Third, the greater the debt risk of the risk-output country, the greater its long-term spillover risk to other countries. Correspondingly, the greater the risk of the risk-input country, the greater is its short-term spillover risk from other countries. Moreover, trade volume, financial market integration, and business cycle synchronization between two countries are all positively correlated to the long-term spillover risk, but their correlations with short-term risk spillover are not significant. Fourth, both the short-term and long-term sovereign debt risk spillover networks show obvious characteristics of regional clustering. In the short-term spillover network, a country always has clear connections with a narrow group of countries—usually those that are in the same region or have similar economic and financial environments. However, in the long-term spillover network, the connections can extend to countries out of the narrow group through economic and trade relations. Our study has three types of policy implications. First, market regulators should be aware of the sovereign debt risks from cross-country spillovers, and they should actively strengthen international cooperation in terms of financial supervision. Such measures can help regulators accurately evaluate the risk levels of other countries, and thus respond quickly to the risk and minimize the overall losses. Second, it is important to build a differentiated regulatory system for long-term and short-term sovereign debt risk spillovers. The dominant risk of short-term sovereign debt spillover should receive more attention and be subjected to daily supervision. Finally, measures to prevent long-term and short-term sovereign debt risks should be considered separately. In the short term, it is essential for countries, and especially for emerging market countries, to enhance disclosure of assets as a means to reduce information asymmetry. It is also essential to improve financial supervision as a means to avoid dramatic changes in short-term capital inflows or outflows. In the long term, governments should reduce their fiscal deficits, trade deficits, and foreign debts, and balance their debt structures to reduce their sovereign debt risk. Furthermore, each country should improve the ability of its economic and financial system to resist economic shocks and risk spillovers from other countries.
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Received: 25 October 2019
Published: 02 October 2020
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[1] |
黄晓薇、黄亦炫和郭敏,2017,《老龄化冲击下的主权债务风险》,《世界经济》,第3期,第3~25页。
|
[2] |
李政、刘淇、周莹莹和余峰燕,2019,《全球主权债务风险溢出的水平、结构与机制研究》,《国际金融研究》,第10期,第42~52页。
|
[3] |
梁琪、李政和郝项超,2015,《中国股票市场国际化研究:基于信息溢出的视角》,《经济研究》,第4期,第150~164页。
|
[4] |
马旭平、王军、孙晓蕾和李建平,2019,《主权风险溢出网络动态特征研究:以“一带一路”国家为例》,《系统工程理论与实践》,第6期,第1363~1372页。
|
[5] |
杨子晖和周颖刚,2018,《全球系统性金融风险溢出与外部冲击》,《中国社会科学》,第12期,第69~90页。
|
[6] |
叶永刚、杨飞雨和郑小娟,2016,《国家信用风险的传导与影响研究——以欧元区债务危机为例》,《金融研究》,第2期,第172~179页。
|
[7] |
尹力博和柳依依,2016,《中国商品期货金融化了吗?——来自国际股票市场的证据》,《金融研究》,第3期,第189~206页。
|
[8] |
Baruník, J., and T. Krehlík. 2018. “Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk” Journal of Financial Econometrics, 16(2):271~296.
|
[9] |
Beirne, J., and M. Fratzscher. 2013. “The Pricing of Sovereign Risk and Contagion during the European Sovereign Debt Crisis” Journal of International Money and Finance, 34:60~82.
|
[10] |
Bellas, D., M.G. Papaioannou, and I.K. Petrova. 2010. “Determinants of Emerging Market Sovereign Bond Spreads: Fundamentals vs Financial Stress” IMF Working Paper, No. 281.
|
[11] |
Bostanci, G., and K. Yilmaz. 2020. “How Connected is the Global Sovereign Credit Risk Network?” Journal of Banking & Finance, forthcoming.
|
[12] |
Cerqueira, P.A. 2013. “A Closer Look at the World Business Cycle Synchronization” International Economics and Economic Policy, 10(3):349~363.
|
[13] |
De Santis, R.A. 2014. “The Euro Area Sovereign Debt Crisis: Identifying Flight-to-Liquidity and the Spillover Mechanisms” Journal of Empirical Finance, 26:150~170.
|
[14] |
Diebold, F.X., and K. Yilmaz. 2014. “On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms” Journal of Econometrics, 182(1):119~134.
|
[15] |
Ferrer, R., S.J.H. Shahzad, R. López, and F. Jareo. 2018. “Time and Frequency Dynamics of Connectedness between Renewable Energy Stocks and Crude Oil Prices” Energy Economics, 76:1~20.
|
[16] |
Gillaizeau, M., R. Jayasekera, A. Maaitah, T. Mishra, M. Parhi, and E. Volokitina. 2019. “Giver and the Receiver: Understanding Spillover Effects and Predictive Power in Cross-Market Bitcoin Prices” International Review of Financial Analysis, 63:86~104.
|
[17] |
Heinz, F.F., and M.S. Yan. 2014. “Sovereign CDS Spreads in Europe — The Role of Global Risk Aversion, Economic Fundamentals, Liquidity, and Spillovers” IMF Working Paper, No. 17.
|
[18] |
Hilscher, J., and Y. Nosbusch. 2010. “Determinants of Sovereign Risk: Macroeconomic Fundamentals and the Pricing of Sovereign Debt” Review of Finance, 14(2):235~262.
|
[19] |
Liang, Q., Y. Lu, and Z. Li. 2020. “Business Connectedness or Market Risk? Evidence from Financial Institutions in China” China Economic Review, forthcoming.
|
[20] |
Wang, A.T. 2019. “The Information Transmissions between the European Sovereign CDS and the Sovereign Debt Markets of Emerging Countries” Asia Pacific Management Review, 24(2):176~189.
|
|
|
|