Research on China's financial systemic risk contagion under jump and heavy-tailed risk

被引:24
|
作者
Gong, Xiao-Li [1 ]
Liu, Xi-Hua [1 ]
Xiong, Xiong [2 ,3 ]
Zhang, Wei [2 ]
机构
[1] Qingdao Univ, Sch Econ, Qingdao 266061, Peoples R China
[2] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
[3] China Ctr Social Comp & Analyt, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
Jump risk; Tail risk; Volatility spillover network; Systemic risk; CAPITAL SHORTFALL; CRUDE-OIL; CONNECTEDNESS; VOLATILITY; DISTANCE; DEFAULT; MODELS; EQUITY;
D O I
10.1016/j.irfa.2020.101584
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
To accurately measure the dynamic characteristics of systemic risk contagion under the impact of extreme financial events, we construct a research framework that analyzes the contagion dynamics of systemic risk under extreme risk impact from the perspectives of both time and space. Based on the macro-jump CCA method, this paper extracts the heterogeneous volatility sequence of financial industries considering the thick tail of the distribution of financial assets returns. Then, the dynamic variation of systemic risk in the financial sectors is characterized from the time dimension. The volatility spillover network method is used to examine the spillover contagion of systemic risk among financial system sectors from the spatial dimension. Empirical studies have found that when considering the risk contagion level, the capital market service sector plays a risk-leading role, followed by the currency service sector and the insurance sector. The measurement indicators that consider the jump risk and the tail risk have good early warning effects on extreme financial events. Seen from the spatial direction of risk spillover, the real estate sector exhibits the most obvious risk spillover effect on other sectors and can be regarded as the source of systemic risk, which suggests differentiated regulation.
引用
收藏
页数:11
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