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财贸经济  2014 

我国信贷关系网络宏观拓扑特征及系统性信贷风险鉴别

, PP. 55-66

Keywords: 信贷关系网络,宏观拓扑特征,无标度网络,“核-边缘”模式,信贷风险指数

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Abstract:

本文运用复杂网络技术,构建我国金融机构-企业信贷关系网络及其映射子网络。研究表明,我国金融机构-企业信贷关系网络存在典型的无标度网络特性。本文发现,在同一信贷关系网络中,同时存在异配性和“富者俱乐部”特征,使信贷关系网络的节点连结模式呈现出“核-边缘”格局,表明大型金融机构、大型企业主导了我国信贷资源,竞争优势明显,小型金融机构和中小企业竞争力较弱。通过最小生成树分析,揭示了信贷网络层级模块化特征,还发现各层级、簇集、子群的顶点是信贷风险管控的关键实体。本文提出了一种新的系统重要性节点鉴别指标——信贷风险指数,并建议对高风险指数实体采取差异化风险管控策略。本研究对政策引导,优化监管资源配置,增强我国信贷系统稳健性具有一定的参考意义。

References

[1]  1.廖国民、周文贵:《国有商业银行不良资产:三个分析视角》,《数量经济技术经济研究》2005年第5期。
[2]  2.万阳松、陈忠、陈晓荣:《复杂银行网络的宏观结构模型及其分析》,《上海交通大学学报》2007年第7期。
[3]  3.Albert R., Jeong H., and Barabási A.L., Error and Attack Tolerance of Complex Networks.Nature, Vol.406, No.6794, July 2000, pp.378-382.
[4]  4.Almaas E., Kovacs B., Vicsek T., and Oltvai Z.N., Barabási A.L, Global Organization of Metabolic Fluxes in the Bacterium Escherichia Coli.Nature, Vol.427, No.6977, February 2004, pp.839-843.
[5]  5.Battiston S., Delli Gatti D., Gallegati M., Greenwald B., and Stiglitz J.E., Liaisons Dangereuses: Increasing Connectivity, Risk Sharing, and Systemic Risk.Journal of Economic Dynamics and Control, Vol.36, No.8, August 2012, pp.1121-1141.
[6]  6.Boss M., Elsinger H., Summer M., and Thurner S., Network Topology of the Interbank Market.Quantitative Finance, Vol.4, No.6, August 2004, pp.677-684.
[7]  7.Brunnermeier M.K., Deciphering the Liquidity and Credit Crunch 2007-08. NBER Working Paper, No.14612, 2008.
[8]  8.Cajueiro D.O., Tabak B.M, The Role of Banks in the Brazilian Interbank Market: Does Bank Type Matter?.Physica A: Statistical Mechanics and Its Applications, Vol.387, No.27, December 2008, pp.6825-6836.
[9]  9.Clauset A, Shalizi C.R, and Newman M.E., Power-law Distributions in Empirical Data.SIAM Review, Vol.51, No.4, November 2009, pp.661-703.
[10]  10.Colizza V., Flammini A., and Serrano M.A., Detecting Rich-club Ordering in Complex Networks.Nature Physics, Vol.2, No.2, January 2006, pp.110-115.
[11]  11.Crucitti P., Latora V., and Marchiori M., Efficiency of Scale-free Networks: Error and Attack Tolerance.Physica A: Statistical Mechanics and its Applications, Vol.320, March 2003, pp.622-642.
[12]  12.Hasman A., Samartín M, Information Acquisition and Financial Contagion.Journal of Banking and Finance, Vol.32, No.10, October 2008, pp.2136-2147.
[13]  13.Iori G., De Masi G., Precup O.V., Gabbi G., and Caldarelli G., A Network Analysis of the Italian Overnight Money Market.Journal of Economic Dynamics and Control, Vol.32, No.1, January 2008, pp.259-278.
[14]  14.Leiserson C.E., Rivest R.L., and Stein C., Introduction to Algorithms. MIT Press, 2001.
[15]  15.Newman M.E.J., Mixing Patterns in Networks.Physical Review E, Vol.67, No.2, February 2003, pp.026126:1-13.
[16]  16.Opsahl T., Colizza V., and Panzarasa P., Prominence and Control: The Weighted Rich-club Effect.Physical Review Letters, Vol.101, No.16, October 2008, p.168702.
[17]  17.Upper C., Simulation Methods to Assess the Danger of Contagion in Interbank Markets.Journal of Financial Stability, Vol.7, No.3, August 2011, pp.111-125.

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