Tail dependence, risk contagion and industry systemic risk: Based on method of Lasso-Expectile
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.
Authors
- Qianqian Zhang
- Yue Zhang (ORCID: https://orcid.org/0000-0002-8438-5491)
- Wenhua Yang
- Shu Wang (ORCID: https://orcid.org/0009-0006-2693-6618)
Institutions
- Southwestern University of Finance and Economics (CN)
- Sichuan Agricultural University (CN)
- Taiyuan Institute of Technology (CN)
Publication Details
- Journal
- International Journal of Financial Engineering
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1142/s2424786324410032
- Citations
- 2
- Primary Topic
- Insurance and Financial Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 2.26
Funders
- National Natural Science Foundation of China