Influential risk spreaders and systemic risk in Chinese financial networks

被引:2
作者
Yang, Ming-Yuan [1 ]
Wu, Zhen-Guo [2 ]
Wu, Xin [3 ,4 ]
Li, Sai-Ping [5 ,6 ]
机构
[1] Henan Univ Sci & Technol, Sch Business, Luoyang, Peoples R China
[2] Zhejiang Univ, Sch Econ, Hangzhou, Peoples R China
[3] Zhejiang Univ Finance & Econ, Sch Finance, 18 Xueyuan Rd, Hangzhou 310018, Peoples R China
[4] Zhejiang Univ Finance & Econ, The New Type Key Think Tank Zhejiang Prov China Re, Hangzhou, Peoples R China
[5] Hong Kong Univ Sci & Technol, Dept Phys, Clear Water Bay, Hong Kong, Peoples R China
[6] Acad Sinica, Inst Phys, Taipei 115, Taiwan
关键词
Financial networks; Influential risk spreaders; Systemic risk contribution; COMPLEX NETWORKS; IDENTIFICATION; CENTRALITY; CONNECTEDNESS; INFORMATION; CONTAGION;
D O I
10.1016/j.ememar.2024.101138
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
A novel approach of gravity strength centrality (GSC) model is proposed to identify the influential risk spreaders in Chinese financial networks. We also measure the systemic risk contribution of financial institutions via Delta CoVaR and detect the relationship between the risk spreading ability and the systemic risk contribution of financial institutions. Our findings show that (i) the novel GSC model has the best performance on identifying influential risk spreaders, (ii) financial institutions with larger risk spreading ability contribute more to the systemic risk, (iii) the COVID19 pandemic has significantly enhanced the contribution of influential risk spreaders to the systemic risk.
引用
收藏
页数:21
相关论文
共 52 条
[1]   Contagion and tail risk in complex financial networks [J].
Abduraimova, Kumushoy .
JOURNAL OF BANKING & FINANCE, 2022, 143
[2]   Measuring Systemic Risk [J].
Acharya, Viral V. ;
Pedersen, Lasse H. ;
Philippon, Thomas ;
Richardson, Matthew .
REVIEW OF FINANCIAL STUDIES, 2017, 30 (01) :2-47
[3]   CoVaR [J].
Adrian, Tobias ;
Brunnermeier, Markus K. .
AMERICAN ECONOMIC REVIEW, 2016, 106 (07) :1705-1741
[4]   Identification of influential spreaders in complex networks using HybridRank algorithm [J].
Ahajjam, Sara ;
Badir, Hassan .
SCIENTIFIC REPORTS, 2018, 8
[5]   Input-output-based measures of systemic importance [J].
Aldasoro, Inaki ;
Angeloni, Ignazio .
QUANTITATIVE FINANCE, 2015, 15 (04) :589-606
[6]   COMPLEX SYSTEMS Complexity theory and financial regulation [J].
Battiston, Stefano ;
Farmer, J. Doyne ;
Flache, Andreas ;
Garlaschelli, Diego ;
Haldane, Andrew G. ;
Heesterbeek, Hans ;
Hommes, Cars ;
Jaeger, Carlo ;
May, Robert ;
Scheffer, Marten .
SCIENCE, 2016, 351 (6275) :818-819
[7]   DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk [J].
Battiston, Stefano ;
Puliga, Michelangelo ;
Kaushik, Rahul ;
Tasca, Paolo ;
Caldarelli, Guido .
SCIENTIFIC REPORTS, 2012, 2
[8]   Temporal gravity model for important node identification in temporal networks [J].
Bi, Jialin ;
Jin, Ji ;
Qu, Cunquan ;
Zhan, Xiuxiu ;
Wang, Guanghui ;
Yan, Guiying .
CHAOS SOLITONS & FRACTALS, 2021, 147
[9]   FACTORING AND WEIGHTING APPROACHES TO STATUS SCORES AND CLIQUE IDENTIFICATION [J].
BONACICH, P .
JOURNAL OF MATHEMATICAL SOCIOLOGY, 1972, 2 (01) :113-120
[10]   Eigenvector-like measures of centrality for asymmetric relations [J].
Bonacich, P ;
Lloyd, P .
SOCIAL NETWORKS, 2001, 23 (03) :191-201