Analysis of systemic risk from the perspective of complex networks: overview and outlook

被引:0
|
作者
Chen C.-Y. [1 ,2 ]
Tan D.-R. [1 ]
Qin H.-M. [3 ]
Wang B.-H. [4 ]
Gao J.-X. [5 ]
机构
[1] School of Information and Electrical Engineering, Hunan University of Science and Technology, Hunan, Xiangtan
[2] Institutes of Advanced Technology, Chinese Academy of Sciences, Guangdong, Shenzhen
[3] School of Finance, Shanghai University of Finance and Economics, Shanghai
[4] Department of Modern Physics, University of Science and Technology of China, Anhui, Hefei
[5] Department of Computer Science and Network Science and Technology Center, Rensselaer Polytechnic Institute, Troy, 12180, NY
基金
中国国家自然科学基金;
关键词
complex networks; measurement; relevance; risk contagion; risk prevention; systemic risk;
D O I
10.7641/CTA.2021.10267
中图分类号
学科分类号
摘要
With the rapid development of the modern financial industry, the complexity of the network formed by multiple financial entities has continued to deepen, and the probability of systemic risk has increased significantly. The use of complex network theory to explore the network topology and evolution process of financial markets plays an important role in the measurement, contagion and prevention of systemic risk. In this review, the connotation of systemic risk is clarified firstly along with their causes and characteristics, common indicators and complex network models are reviewed, and the important impact of systemic risk in financial networks is pointed out. Based on the correlation between financial institutions, the algorithm for building the network model and the measurement method of systemic risk are discussed, and their characteristics are evaluated, along with their advantages, limitations and applications. Then, the contagion effect of systemic risk under the network structure are also analyzed. Finally, based on the perspective of complex networks, challenges in systemic risk problems are concluded to throw some light on the future research. © 2022 South China University of Technology. All rights reserved.
引用
收藏
页码:2202 / 2218
页数:16
相关论文
共 124 条
  • [1] KEYNES J M., The general theory of employment, interest and money, Limnology & Oceanography, 12, pp. 28-36, (1936)
  • [2] IORI G, MANTEGNA R N, MAROTTA L, Et al., Networked relationships in the e-MID Interbank market: A trading model with memory, Journal of Economic Dynamics & Control, 50, pp. 98-116, (2015)
  • [3] SUI Cong, WANG Xianfeng, WANG Zongyao, Inter-bank network connectivity heterogeneity and risk contagion, Studies of International Finance, 363, 7, pp. 44-53, (2017)
  • [4] JOHNSON N, LUX T., Financial systems: Ecology and economics, Nature, 469, 7330, pp. 302-303, (2011)
  • [5] DIJKMAN M., A framework for assessing systemic risk, The World Bank, Policy Research Working Paper Series, 5282, pp. 1-30, (2010)
  • [6] XU X, ZENG Z, XU J, Et al., Fuzzy dynamical system scenario simulation-based cross-border financial contagion analysis: a perspective from international capital flows, IEEE Transactions on Fuzzy Systems, 25, 2, pp. 439-459, (2017)
  • [7] ZHU Yuanqian, MIAO Yufeng, A review of models for systemic risk measurement and early warning, Studies of International Finance, 1, pp. 81-90, (2012)
  • [8] ZHU Heng, ZHUO Zhi, Systemic importance of insurers and its influencing factors-based on the exposureand contribution to systemic risk, Insurance Studies, 371, 3, pp. 3-16, (2019)
  • [9] CASTRO C, FERRARI S., Measuring and testing for the systemically important financial institutions, Journal of Empirical Finance, 25, pp. 1-14, (2014)
  • [10] ADRIAN T, BRUNNERMEIER M K., CoVaR, Staff Reports, 106, 7, pp. 1705-1741, (2014)