吉林大学学报(信息科学版) ›› 2014, Vol. 32 ›› Issue (5): 556-562.

• 论文 • 上一篇    

大额支付系统中系统性风险传染规律研究

王鹏a,b, 付延平b, 魏文a, 伍艳君a   

  1. 西南财经大学 a. 经济信息工程学院; b. 金融智能与金融工程四川省重点实验室, 成都 611130
  • 收稿日期:2014-04-09 出版日期:2014-09-26 发布日期:2014-12-26
  • 作者简介:王鹏(1975—), 男, 浙江宁波人, 西南财经大学副教授, 硕士生导师, 主要从事支付系统、 宏观金融风险研究, (Tel)86-15308188298(E-mail)wangp_t@swufe.edu.cn。
  • 基金资助:

    教育部人文社会科学基金资助项目(11YJC790186);中央高校基本科研业务费博士研究生课题基金资助项目(JBK1307151);中央高校基本科研业务费创新团队建设基金资助项目(JBK130503); 国家社会科学基金重点资助项目(11AZD077)

Research of Systemic Risk Contagion in Payment System

WANG Penga,b, FU Yanpingb, WEI Wena, WU Yanjuna   

  1. a. School of Economic Information Engineering; b. Department of Laboratory for Financial Intelligence andFinancial Engineering, South Western University of Finance and Economics, Chengdu 611130, China
  • Received:2014-04-09 Online:2014-09-26 Published:2014-12-26

摘要:

基于复杂网络理论, 针对支付系统中系统性风险的传染问题进行了研究。通过对现有成果的借鉴, 建立了描述风险传染过程的时滞微分方程, 并依据更新过程理论求出了此方程的解析解, 然后利用该解析解分析了不同时滞下系统性风险的传染规律。结果表明, 提出的相关的支付系统监管对策建议可对中国现代化支付系统建设、 宏观审慎监管制度的完善等实际问题起到一定的推动作用。

关键词: 支付系统, 系统性风险, 复杂网络

Abstract:

This paper studies the contagion risk in the payment system based on network model. Using current research result for reference, we describe the financial contagion through delay-differential equation and get the analytical solution with the help of renewal process. Then we analyze the contagion risk in different time-delay parameters based on the analytical solution. The results show that contagion risk significantly increases as time passed. Time-delay parameter also has a very strong effect on the contagion risk. Then we present related suggestions and policy implications which may improve the construction of China national automatic payment system and prudent macro-economic management both in theory and practice.

Key words: payment system, systemic risk, complex network

中图分类号: 

  • TP391.9