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中国管理科学 ›› 2015, Vol. 23 ›› Issue (10): 30-37.doi: 10.16381/j.cnki.issn1003-207x.2015.10.004

• 论文 • 上一篇    下一篇

中国金融机构的系统重要性及系统性风险传染机制分析——基于复杂网络的视角

欧阳红兵, 刘晓东   

  1. 华中科技大学经济学院, 湖北 武汉 430074
  • 收稿日期:2013-10-14 修回日期:2014-10-01 出版日期:2015-10-20 发布日期:2015-10-24
  • 作者简介:欧阳红兵(1968-),男(汉族),湖南衡阳人,华中科技大学经济学院副教授,博士,研究方向:金融计量.
  • 基金资助:

    国家自然科学基金资助项目(70971051,71473092)

An Analysis of the Systemic Importance and Systemic Risk Contagion Mechanism of China's Financial Institutions Based on Network Analysis

OUYANG Hong-bing, LIU Xiao-dong   

  1. School of Economics, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2013-10-14 Revised:2014-10-01 Online:2015-10-20 Published:2015-10-24

摘要: 采用最小生成树(MST)和平面极大过滤图(PMFG)方法构建和分析金融市场网络可以动态识别金融网络中节点的系统重要性,而利用最小生成树的唯一性可以全面而直观地显示系统性风险的传导机制。我们通过对银行间同业拆借市场进行的实证分析证明了该方法的有效性和稳健性,特别是最小生成树方法对系统性风险传导潜在路径的识别以及系统性风险的宏观审慎监管提供了直观而有效的手段。

关键词: 系统性风险, 复杂网络, 系统重要性, 同业拆借市场

Abstract: Applying Minimum Spanning Tree (MST) and Planar Maximally Filtered Graph approaches to construct and analyze financial market network can dynamically identify the systemic importance of the nodes in financial networks, and the uniqueness of MST can be used to analyze the contagion mechanism of systemic risk completely and straightforwardly. Using data from inter-bank borrowing market, the effectiveness and robustness of this method are proved. Particularly, MST provides an intuitive and effective approach to identify the potential contagion path of systemic risks as well as the macro prudential regulation systemic risks.

Key words: systemic risk, complex network, systemic importance, inter-bank borrowing market

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