网络视角下的金融结构与金融风险传染

鲍勤, 孙艳霞

系统工程理论与实践 ›› 2014, Vol. 34 ›› Issue (9) : 2202-2211.

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系统工程理论与实践 ›› 2014, Vol. 34 ›› Issue (9) : 2202-2211. DOI: 10.12011/1000-6788(2014)9-2202
论文

网络视角下的金融结构与金融风险传染

    鲍勤1, 孙艳霞2
作者信息 +

Financial structure and financial contagion from the network perspective

    BAO Qin1, SUN Yan-xia2
Author information +
文章历史 +

摘要

基于不同的银行间市场网络结构假设,利用中国银行业数据,使用最大熵方法估计银行间资产负债关系,建立银行间市场网络以研究我国单个银行破产引发的金融风险的传染概率和影响程度,进而通过建立异质性银行的多主体仿真模型研究银行间市场结构和银行资产负债表结构对金融风险传染的影响. 研究结果表明:相比于完全连接网络,中心-边缘的层级网络将增大金融风险传染的范围和程度. 此外,对于银行资产负债表结构而言,所有者权益占比提高将增强金融机构的抗风险能力,降低传染概率,而银行间资产和负债占比提高则会扩大金融风险传染的影响. 这为我国银行业系统风险监管中对金融结构的关注提供了重要启示.

Abstract

This paper estimates the interbank bilateral asset and debt positions based on different assumptions of interbank network structures by using data of China's banking sector. The network structure of interbank market is modeled to analyze the financial contagion caused by a singular bank failure. A multi-agent simulation model including heterogenous banks is built to study how interbank network structures and banks' balance sheet structures affect financial contagion. The results indicate that a core-periphery interbank structure would increase the influence of financial contagion compared with a complete network structure. Moreover, the balance sheet structure would affect financial contagion, with a higher equity ratio increasing financial stability and decreasing probability of financial contagion, and a higher interbank asset and debt ratio the opposite. This implies that regulation of systemic risk in banking sector should pay more attention to financial structure.

关键词

金融风险传染 / 银行间市场结构 / 资产负债表结构 / 复杂网络

Key words

financial contagion / interbank structure / balance sheet structure / complex network

引用本文

导出引用
鲍勤 , 孙艳霞. 网络视角下的金融结构与金融风险传染. 系统工程理论与实践, 2014, 34(9): 2202-2211 https://doi.org/10.12011/1000-6788(2014)9-2202
BAO Qin , SUN Yan-xia. Financial structure and financial contagion from the network perspective. Systems Engineering - Theory & Practice, 2014, 34(9): 2202-2211 https://doi.org/10.12011/1000-6788(2014)9-2202
中图分类号: F22   

参考文献

[1] Nier E, Yang J, Yorulmazer T, et al. Network models and financial stability[J]. Journal of Economic Dynamics & Control, 2007, 31: 2033-2060.
[2] 王永巧, 刘诗文. 基于时变Copula的金融开放与风险传染[J]. 系统工程理论与实践, 2011, 31(4): 778-784.Wang Yongqiao, Liu Shiwen. Financial market openness and risk contagion: A time-varying Copula approach[J]. Systems Engineering——Theory & Practice, 2011, 31(4): 778-784.
[3] 陆静, 王捷. 基于贝叶斯网络的商业银行全面风险预警系统[J]. 系统工程理论与实践, 2012, 32(2): 225-235.Lu Jing, Wang Jie. Enterprise risk pre-warning system of commercial banks based on Bayesian networks[J]. Systems Engineering——Theory & Practice, 2012, 32(2): 225-235.
[4] 汪冬华, 黄康, 龚朴. 我国商业银行整体风险度量及其敏感性分析——基于我国商业银行财务数据和金融市场公开数据[J]. 系统工程理论与实践, 2013, 33(2): 284-295.Wang Donghua, Huang Kang, Gong Pu. Integrated risk measurement of Chinese commercial banks and its sensitivity——Based on the financial data of Chinese commercial banks and the open data of the financial market[J]. Systems Engineering——Theory & Practice, 2013, 33(2): 284-295.
[5] Gale D M, Kariv S. Financial networks[J]. AEA Papers and Proceedings, 2007, 97(2): 99-103.
[6] Allen F, Gale D. Financial contagion[J]. Journal of Political Economy, 2000, 108(1): 1-33.
[7] Upper C. Simulation methods to assess the danger of contagion in interbank markets[J]. Journal of Financial Stability, 2011, 7: 111-125.
[8] Sheldon G, Maurer M. Interbank lending and systemic risk: An empirical analysis for Switzerland[J]. Swiss Journal of Economics and Statistics, 1998, 134(4): 685-704.
[9] Wilensky U. NetLogo[EB/OL]. http://ccl. northwestern. edu/netlogo/. Center for Connected Learning and Computer-Based Modeling. Northwestern University, Evanston, IL, 1999.
[10] Eisenberg L, Noe T H. Systemic risk in financial system[J]. Management Science, 2001, 47(2): 236-249.
[11] Upper C, Worms A. Estimating bilateral exposures in the German interbank market: Is there a danger of contagion?[J]. European Economic Review, 2004, 48: 827-849.
[12] Boss M, Elsinger H, Summer M, et al. Network topology of the interbank market[J]. Quantitative Finance, 2004, 4(6): 677-684.
[13] Elsinger H, Lehar A, Summer M. Risk assessment for banking systems[J]. Management Science, 2006, 52(9): 1301-1314.
[14] Müller J. Interbank credit lines as a channel of contagion[J]. Journal of Financial Services Research, 2006, 29(1): 37-60.
[15] Soramäki K, Bech M L, Arnold J, et al. The topology of interbank payment flows[J]. Physica A, 2007, 379: 317-333.
[16] Degryse H, Nguyen G. Interbank exposures: An empirical examination of contagion risk in the Belgian banking system[J]. International Journal of Central Banking, 2007, 3(2): 123-171.
[17] Sokolov A, Webster R, Melatos A, et al. Loan and nonloan flows in the Australian interbank network[J]. Physica A, 2012, 391: 2867-2882.
[18] Martínez-Jaramillo S, Pérez O P, Embriz F A, et al. Systemic risk, financial contagion and financial fragility[J]. Journal of Economic Dynamics & Control, 2010, 34: 2358-2374.
[19] Mistrulli P E. Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns[J]. Journal of Banking & Finance, 2011, 35: 1114-1127.
[20] Freixas X, Parigi B, Rochet J C. Systemic risk, interbank relations and liquidity provision by the central bank[J]. Journal of Money, Credit and Banking, 2000, 32(3): 611-638.
[21] Iori G, De Masi G, Precup O V, et al. A network analysis of the Italian overnight money market[J]. Journal of Economic Dynamics & Control, 2008, 32: 259-278.
[22] Bech M L, Ataley E. The topology of the federal funds market[J]. Physica A, 2010, 389: 5223-5246.
[23] Lenzu S, Tedeschi G. Systemic risk on different interbank network topologies[J]. Physica A, 2012, 391: 4331-4341.
[24] 刘春航, 朱元倩. 银行业系统性风险度量框架的研究[J]. 金融研究, 2011, 12: 85-99.Liu Chunhang, Zhu Yuanqian. The measurement framework of banking systemic risk[J]. Journal of Financial Research, 2011, 12: 85-99.
[25] 陈建新, 罗伟其, 庞素琳. 银行风险传染的集合种群模型——基于元胞自动机的动态模拟[J]. 系统工程理论与实践, 2012, 32(3): 543-548. Chen Jianxin, Luo Weiqi, Pang Sulin. The risk infection for the bank of met population mode——Based on the dynamic simulation of the cellular automata[J]. Systems Engineering——Theory & Practice, 2012, 32(3): 543-548.
[26] 马君潞, 范小云, 曹元涛. 中国银行间市场双边传染的风险估测及其系统性特征分析[J]. 经济研究, 2007, 1: 68-78.Ma Junlu, Fan Xiaoyun, Cao Yuantao. Estimating bilateral exposures in the China interbank market: Is there a systemic contagion?[J]. Economic Research Journal, 2007, 1: 68-78.
[27] 周再清, 谭盛中, 王弦洲. 我国银行间市场传染性的风险测试[J]. 统计与决策, 2008, 16: 45-46.Zhou Zaiqing, Tan Shengzhong, Wang Xianzhou. Risk test of China's interbank market contagion[J]. Statistics and Decision, 2008, 16: 45-46.
[28] Li S W, He J M, Zhuang Y M. Network efficiency analysis of Chinese inter-bank market[J]. Journal of Southeast University: English Edition, 2010, 26(3): 494-497.
[29] 李守伟, 何建敏, 庄亚明,等. 银行同业拆借市场的网络模型构建及稳定性[J]. 系统工程, 2010, 28(5): 20-24.Li Shouwei, He Jianmin, Zhuang Yaming, et al. The construction of network model of interbank market and its stability[J]. Systems Engineering, 2010, 28(5): 20-24.
[30] 李守伟, 何建敏, 庄亚明,等. 基于复杂网络的银行同业拆借市场稳定性研究[J].管理工程学报, 2011, 25(2): 195-199.Li Shouwei, He Jianmin, Zhuang Yaming, et al. Stability of inter-bank markets based on complex network[J]. Journal of Industrial Engineering / Engineering Management, 2011, 25(2): 195-199.
[31] 黄聪, 贾彦东. 金融网络视角下的宏观审慎管理——基于银行间支付结算数据的实证分析[J]. 金融研究, 2010, 4: 1-14.Huang Cong, Jia Yandong. Macro-prudential regulation from the perspective of financial network: Empirical analysis based on interbank payment and settlement system[J]. Journal of Financial Research, 2010, 4: 1-14.
[32] 贾彦东. 金融机构的系统重要性分析——金融网络中的系统风险衡量与成本分担[J]. 金融研究, 2011, 10: 17-33.Jia Yandong. Analysis of financial institutions importance: Systemic risk measurement and cost sharing in financial network[J]. Journal of Financial Research, 2011, 10: 17-33.
[33] 万阳松, 陈忠, 陈晓荣. 复杂银行网络的宏观结构模型及其分析[J]. 上海交通大学学报, 2007, 41(7): 1161-1164.Wan Yangsong, Chen Zhong, Chen Xiaorong. Analysis of macro-structure model of complex banking networks[J]. Journal of Shanghai Jiaotong University, 2007, 41(7): 1161-1164.
[34] Li S W, He J M, Zhuang Y M. A network model of the interbank market[J]. Physica A, 2010, 389: 5587-5593.
[35] 厉浩, 陈庭强, 何建敏. 复杂网络理论的银行间市场网络结构演化模型[J]. 北京理工大学学报:社会科学版, 2012, 14(2): 71-76.Li Hao, Chen Tingqiang, He Jianmin. The interbank market network structure evolution model based on the complex network theory[J]. Journal of Beijing Institute of Technology: Social Sciences Edition, 2012, 14(2): 71-76.
[36] Cao H H, Zhu J M. Research on banking crisis contagion dynamics based on the complex network of system engineering[J]. Systems Engineering Procedia, 2012, 5: 156-161.
[37] 许博, 刘鲁. 银行间市场体系的相继违约风险分析与建模[J]. 系统工程, 2011, 29(6): 42-46.Xu Bo, Liu Lu. Successive default risk in interbank market: Analysis and modeling[J]. Systems Engineering, 2011, 29(6): 42-46.

基金

国家自然科学基金重点项目(70933003)

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