Tail dependence, risk contagion and industry systemic risk: Based on method of Lasso-Expectile

被引:1
|
作者
Zhang, Qianqian [1 ]
Zhang, Yue [2 ]
Yang, Wenhua [3 ]
Wang, Shu [4 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Accounting, Chengdu 611130, Peoples R China
[2] Taiyuan Inst Technol, Dept Econ & Management, Taiyuan 030008, Peoples R China
[3] Sichuan Agr Univ, Coll Econ, Chengdu 611130, Peoples R China
[4] Southwestern Univ Finance & Econ, Sch Finance, Chengdu 611130, Peoples R China
关键词
Lasso-expectile; systemic risk network; tail dependence; risk contagion; NETWORK; SPILLOVERS; REGRESSION; BANKING;
D O I
10.1142/S2424786324410032
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Using third-level industry data of CSI 300, we introduce the Lasso approach into the high-dimensional CARE to model the tail dependence network among the financial sector and real sectors and measure the industry systemic risk. We find that the realized systemic risks between industries are affected by individual risk exposures and marginal systemic risk contributions. Real estate's marginal systemic risk contribution is the highest in real sectors, and the financial sector's integrated finance industry shows vital marginal systemic risk contribution and network centrality. Auto parts, construction materials, metals and mining, construction engineering, electrical equipment, and means of transportation in real sectors strongly correlate with other industries. The capital markets industry has a tail dependence with 20 different industries.
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收藏
页数:22
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