统计研究 ›› 2023, Vol. 40 ›› Issue (7): 70-84.doi: 10.19343/j.cnki.11–1302/c.2023.07.006

• • 上一篇    下一篇

经济政策不确定性冲击下全球系统 性金融风险的跨市场传染——基于TVP-FAVAR和TVP-VAR模型的研究

杨 科 郭亚飞 田凤平   

  • 出版日期:2023-07-25 发布日期:2023-07-25

Cross-market Contagion of Global Systemic Financial Risk under the Impact of Economic Policy Uncertainty: An Analysis Based on TVP-FAVAR and TVP-VAR Model

Yang Ke Guo Yafei Tian Fengping   

  • Online:2023-07-25 Published:2023-07-25

摘要: 本文基于8个维度的48个基础经济金融变量,运用TVP-FAVAR模型构建系统性金融风险的度量指标,采用广义方差分解法构建系统性金融风险的溢出指数,从静态和动态角度对经济政策不确定性(EPU)冲击下全球16个主要国家的系统性金融风险水平和风险溢出状况展开研究,并运用TVP-VAR模型从金融市场和经济基本面两个层面检验EPU冲击下系统性金融风险的跨市场传染机制。研究发现:系统性金融风险与EPU之间存在双向非对称溢出效应,并以EPU对系统性金融风险的冲击为主,发展中国家系统性金融风险对EPU冲击的反应速度更快、程度更大;EPU冲击下,发达国家是全球系统性金融风险的主要溢出方,发展中国家则是主要的风险接受者,并且这一现象随着全球EPU水平的提升而更加显著;各金融子市场和经济部门受EPU直接冲击的时间和程度存在差异,相互之间的风险溢出效应使得系统性金融风险水平进一步攀升;全球EPU对我国EPU的显著冲击更使得国内经济金融市场受到直接和间接的双重影响,风险净溢入水平也远远大于其他发展中国家。本研究对于应对全球经济政策不确定性冲击、防范化解系统性金融风险具有重要意义。

关键词: 经济政策不确定性, 系统性金融风险, 风险传染机制, TVP-FAVAR, TVP-VAR

Abstract: Based on 48 basic economic and financial variables of 8 dimensions, we use TVP-FAVAR model to construct the indicators to measure the systemic financial risk, and construct the spillover index of systemic risk with the method of generalized variance decomposition. Then, we analyze the state of systemic financial risk and risk spillover of 16 major countries in the world from the static and dynamic point of view. Furthermore, through the construction of TVP-VAR model, we examine the cross-market contagion mechanism of systemic financial risks under the impact of economic policy uncertainty (EPU) from the perspectives of financial market and economic fundamentals. The main conclusions of this paper are as follows: ①There is an asymmetric two-directional spillover effect between systemic financial risk and EPU, in which EPU has a greater effect on systemic financial risk, and the response of systemic financial risk in developing countries to the impact of EPU is faster and greater. ②Under the impact of EPU, developed countries are the main exporters of global systemic risk, while developing countries are the main importers, and this phenomenon becomes more significant as global EPU intensifies. ③There are differences in the time and degree of direct impact of EPU on financial sub-markets and economic sectors, and the mutual risk spillover effect further raises the systemic risk. ④For China, the rise of global EPU will significantly aggravate domestic policy uncertainty, thus making the domestic economy and financial markets subject to both internal and external shocks. Besides, the net risk spillover received by China is also much higher than that of other developing countries. The findings of this study have important policy implications for dealing with the impact of global economic policy uncertainty, preventing and defusing systemic financial risk.

Key words: Economic Policy Uncertainty, Systemic Financial Risk, Risk Contagion Mechanism, TVP-FAVAR, TVP-VAR