Risk contagion of bank-firm loan network: evidence from China

被引:12
作者
Hao, Qingmin [1 ]
Shen, Jim Huangnan [2 ,3 ,6 ]
Lee, Chien-Chiang [4 ,5 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Tianjin, Peoples R China
[2] Fudan Univ, Sch Management, Dept Appl Econ, Fudan, Peoples R China
[3] Harvard Univ, Ctr Int Dev, Harvard Kennedy Sch, Growth Lab, Cambridge, MA USA
[4] Nanchang Univ, Sch Econ & Management, Nanchang, Jiangxi, Peoples R China
[5] Nanchang Univ, Res Ctr Cent China Econ & Social Dev, Nanchang, Peoples R China
[6] Univ Navarra, Core China Res Ctr, Sch Econ & Business, Pamplona, Spain
关键词
Network theory; Lending relationship; Systemic risks; Risk contagion; SYSTEMIC RISK; MODELS;
D O I
10.1007/s40821-022-00237-w
中图分类号
F [经济];
学科分类号
02 ;
摘要
Starting from Chinese A-listed firms' loan announcements, this research creatively constructs a dynamic, variant-linkage, and more comprehensive banking network in China during 2007 and 2016. Exploiting techniques from the literature on complex networks, we find that China's banking network exhibits more clustering, more coherence, higher centrality, and even more heterogeneity. Empirical results show that the above network features, especially the heterogeneity of the network, have a great impact on financial systemic risk. A network with higher clustering coefficient, higher coherence, lower centrality, and greater heterogeneity is associated with a lower financial systemic risk. A range of policy measures can be drawn from our results, including macro-prudential policy, increasing network stability, and applying surcharges for systemically important financial institutions so as to minimize financial systemic risk.
引用
收藏
页码:341 / 361
页数:21
相关论文
共 50 条
[41]   Lending relationships, credit ratings and bank loan spreads: evidence from Indonesian listed companies [J].
Chandera, Yane ;
Setia-Atmaja, Lukas .
INTERNATIONAL JOURNAL OF MANAGERIAL FINANCE, 2020, 16 (04) :455-479
[42]   Network model of credit risk contagion in the interbank market by considering bank runs and the fire sale of external assets [J].
Chen, Tingqiang ;
Wang, Yutong ;
Zeng, Qianru ;
Luo, Jun .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 542
[43]   The determinants of bank insolvency risk: evidence from Finland [J].
Huhtilainen, Matias .
JOURNAL OF FINANCIAL REGULATION AND COMPLIANCE, 2020, 28 (02) :315-335
[44]   CEOoverconfidence and bank systemic risk: Evidence from US bank holding companies [J].
Liu, Liang ;
Le, Hang ;
Thompson, Steve .
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2022, 27 (03) :2977-2996
[45]   Stopping contagion with bailouts: Micro-evidence from Pennsylvania bank networks during the panic of 1884 [J].
Anderson, Haelim Park ;
Bluedorn, John C. .
JOURNAL OF BANKING & FINANCE, 2017, 76 :139-149
[46]   Modeling the Paths of China's Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis [J].
Xu, Fuwei .
COMPUTATIONAL ECONOMICS, 2024, 63 (01) :47-73
[47]   How connected is the oil-bank network? Firm-level and high-frequency evidence [J].
Zhang, Yunhan ;
Gabauer, David ;
Gupta, Rangan ;
Ji, Qiang .
ENERGY ECONOMICS, 2024, 136
[48]   Modeling the Paths of China’s Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis [J].
Fuwei Xu .
Computational Economics, 2024, 63 :47-73
[49]   China's risk contagion using the mixed-frequency macro-financial network [J].
Jiang, Cuixia ;
Gao, Haijing ;
Xu, Qifa .
ECONOMIC SYSTEMS, 2024, 48 (04)
[50]   Research on systemic risk of China's bank-asset bipartite network [J].
Fan, Hong ;
Hu, Chao .
HELIYON, 2024, 10 (05)