MULTI-CHANNEL CONTAGION IN DYNAMIC INTERBANK MARKET NETWORK

被引:5
|
作者
Xu, Tao [1 ]
He, Jianmin [1 ]
Li, Shouwei [1 ]
机构
[1] Southeast Univ, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China
来源
ADVANCES IN COMPLEX SYSTEMS | 2016年 / 19卷 / 6-7期
基金
中国国家自然科学基金;
关键词
Financial contagion; interbank market; dynamic network; multi-channel; bank behavior; SYSTEMIC RISK; FINANCIAL CONTAGION; OVERLAPPING PORTFOLIOS; BANK RUNS; MODEL; LIQUIDITY; STABILITY; TOPOLOGY;
D O I
10.1142/S0219525916500119
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, a dynamic interbank market network model based on bank agent behaviors is developed to analyze financial contagion with counter-party and liquidity channels. Afterwards, we analyze the impact of dynamics on the stability of interbank market and find that dynamics of interbank market could enhance the resilience of the network, which suggests contagion might be overestimated in current studies. Moreover, we investigate the mechanism of contagion when counter-party and liquidity channels are both active in the dynamic interbank market network. Specifically, we analyze the effects of bank capitalization, interbank exposures, liquid assets, and bank credit lending preference on the stability of the banking system, respectively. First, we find that liquidity in interbank market and fluctuations of deposits could amplify the negative impact of each other on the resilience of interbank market network. Second, banks with higher capitalization level tend to be more resilient against financial contagion. Third, interbank exposures may have multiple effects on the resilience of interbank market network. Fourth, the resilience of interbank market network is a nonmonotonic function of percentage of liquid assets. Finally, we discover a complex relationship between bank credit lending preference and the resilience of interbank market.
引用
收藏
页数:25
相关论文
共 50 条
  • [21] Uncertainty, non-linear contagion and the credit quality channel: An application to the Spanish interbank market
    Carro, Adrian
    Stupariu, Patricia
    JOURNAL OF FINANCIAL STABILITY, 2024, 71
  • [22] A network model of the interbank market
    Li, Shouwei
    He, Jianmin
    Zhuang, Yaming
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2010, 389 (24) : 5587 - 5593
  • [23] Dynamic Multi-Channel Packet Scheduling in an Underwater Acoustic Sensor Network
    Ramezani, Hamid
    Leus, Geert
    2013 ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 2013, : 98 - 102
  • [24] Network topology of the interbank market
    Boss, M
    Elsinger, H
    Summer, M
    Thurner, S
    QUANTITATIVE FINANCE, 2004, 4 (06) : 677 - 684
  • [25] Interbank lending, network structure and default risk contagion
    Zhang, Minghui
    He, Jianmin
    Li, Shouwei
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 493 : 203 - 209
  • [26] A network approach to interbank contagion risk in South Africa
    Mananga, Pierre Nkou
    Lin, Shiqiang
    Zhang, Hairui
    JOURNAL OF FINANCIAL STABILITY, 2025, 77
  • [27] Mathematical modeling and analysis of insolvency contagion in an interbank network
    Ren, Xuemin
    Jiang, Lishang
    OPERATIONS RESEARCH LETTERS, 2016, 44 (06) : 779 - 783
  • [28] Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns
    Mistrulli, Paolo Emilio
    JOURNAL OF BANKING & FINANCE, 2011, 35 (05) : 1114 - 1127
  • [29] Network Contagion and Interbank Amplification during the Great Depression
    Mitchener, Kris James
    Richardson, Gary
    JOURNAL OF POLITICAL ECONOMY, 2019, 127 (02) : 465 - 507
  • [30] Estimating bilateral exposures in the German interbank market: Is there a danger of contagion?
    Upper, C
    Worms, A
    EUROPEAN ECONOMIC REVIEW, 2004, 48 (04) : 827 - 849