The influence of bank-firm loan network structure on systemic risk: from the perspective of complex networks
Li, Zhengyong1; Fu, Deyin2; Li, Haiting3
2025-03-17
发表期刊FRONTIERS IN PHYSICS
卷号13
摘要The structure of the bank-firm loan network is crucial for understanding the transmission of systemic risk within the banking system. Drawing on complex network theory, this study analyzes loan data from 370 Chinese commercial banks spanning January 2013 to December 2023 to construct a syndicated loan network, wherein different banks lend to the same enterprise. This analysis reveals how the structure of this network influences systemic risk in the banking sector across various periods. Our findings indicate that, in the long term, network density and centralization significantly mitigate systemic risk, whereas transitivity and average clustering coefficients have a positive effect on systemic risk. In the short term, the network demonstrates strong mean-reverting properties. Additionally, we observe a noteworthy phenomenon: the bank-firm loan relationships exhibit a 'core-periphery' hierarchical structure, characterized by a network that is both robust and fragile. These insights offer a novel perspective on the relationship between bank network structures and systemic risk, contributing to the interdisciplinary application of physics in economic and financial studies.
关键词bank-firm loan network systemic risk topological structure network formation ECM
DOI10.3389/fphy.2025.1548204
收录类别SCIE ; EI
ISSN2296-424X
语种英语
WOS研究方向Physics
WOS类目Physics, Multidisciplinary
WOS记录号WOS:001454998000001
出版者FRONTIERS MEDIA SA
EI入藏号20251418153769
EI主题词Network topology
EI分类号911.2 Industrial Economics - 912.2 Management - 961 Systems Science - 1201.8 Discrete Mathematics and Combinatorics, Includes Graph Theory, Set Theory
原始文献类型Article
EISSN2296-424X
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/38935
专题统计与数据科学学院
校领导
通讯作者Li, Zhengyong
作者单位1.Lanzhou Univ Finance & Econ, Sch Stat & Data Sci, Lanzhou, Peoples R China;
2.China Univ Labor Relat, Sch Lab Econ, Beijing, Peoples R China;
3.Lanzhou Univ Finance & Econ, Off Admiss & Employment, Lanzhou, Peoples R China
第一作者单位统计与数据科学学院
通讯作者单位统计与数据科学学院
推荐引用方式
GB/T 7714
Li, Zhengyong,Fu, Deyin,Li, Haiting. The influence of bank-firm loan network structure on systemic risk: from the perspective of complex networks[J]. FRONTIERS IN PHYSICS,2025,13.
APA Li, Zhengyong,Fu, Deyin,&Li, Haiting.(2025).The influence of bank-firm loan network structure on systemic risk: from the perspective of complex networks.FRONTIERS IN PHYSICS,13.
MLA Li, Zhengyong,et al."The influence of bank-firm loan network structure on systemic risk: from the perspective of complex networks".FRONTIERS IN PHYSICS 13(2025).
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