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复杂系统与复杂性科学  2014, Vol. 11 Issue (4): 72-79    DOI: 10.13306/j.1672-3813.2014.04.013
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基于不同投资行为的动态银行网络稳定性研究
范宏, 李佳妮
东华大学旭日工商管理学院,上海 200051
Stability of a Dynamical Bank Network Based on Different Investment Behaviors
FAN Hong, LI Jiani
Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China
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摘要 针对中国同业拆借市场中银行的交易行为相仿、并缺乏对拆借资金有效监管的问题,首先构建多Agent的动态银行网络模型,然后采用计算仿真的方法研究Agent的两种行为下(投资约束行为与未约束行为)银行网络系统的稳定性。结果表明,未加约束的同业拆借行为将导致银行系统的风险增大,并且当由此造成银行系统不稳定时,中央银行试图通过调整存款准备金率提高系统稳定的货币政策难有效果。
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范宏
李佳妮
关键词 计算金融实验未约束同业拆借行为系统性风险动态银行网络系统银行系统稳定性    
Abstract:In the China interbank market, the transaction behaviors of banks are similar and the interbank borrowing is short of regulation, which may result in a big problem. Considering this problem, the present paper constructs a dynamical bank network model, and then studies the stability of the dynamical bank network system with unconstrained behavior and constrained behavior of the agents based on the method of computational simulation. The results show that unconstrained interbank borrowing behavior will increase the system risk of the bank system. Furthermore, when the bank system becomes unstable due to this unconstrained behavior, it is difficult for the central bank to improve the stability of the bank system by adjusting the money policy of the deposit reserve rate.
Key wordsagent-based computational finance    unconstrained interbank borrowing behavior    system risk    dynamical bank network system    stability of bank system
收稿日期: 2013-09-29      出版日期: 2026-06-22
基金资助:国家自然科学基金面向项目(70971021,71371046);上海市教委基础创新重点项目(12ZS055)
作者简介: 范宏(1971-),女,上海人,博士,副教授,主要研究方向为复杂网络与复杂系统、金融网络系统风险分析。
引用本文:   
范宏, 李佳妮. 基于不同投资行为的动态银行网络稳定性研究[J]. 复杂系统与复杂性科学, 2014, 11(4): 72-79.
FAN Hong, LI Jiani. Stability of a Dynamical Bank Network Based on Different Investment Behaviors[J]. Complex Systems and Complexity Science, 2014, 11(4): 72-79.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2014.04.013      或      https://fzkx.qdu.edu.cn/CN/Y2014/V11/I4/72
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