系统性风险
Lasso(编程语言)
预期短缺
计量经济学
尾部风险
经济
计算机科学
金融经济学
金融危机
万维网
宏观经济学
文件夹
作者
Qianqian Zhang,Yue Zhang,Wenhua Yang,Shu Wang
标识
DOI:10.1142/s2424786324410032
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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