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The Stability of Banking System with Shadow Banking on Different Interbank Network Structures
Discrete Dynamics in Nature and Society ( IF 1.4 ) Pub Date : 2021-04-10 , DOI: 10.1155/2021/6650327
Hongjie Pan 1 , Hong Fan 1
Affiliation  

With the rapid development of the financial market, the outbreak of systemic risk is affected by many factors, among which shadow banking is considered to be the essential reason to cause financial crisis and destroy the stability of the banking system. In view of the stability of the banking system, considering shadow banking, interbank lending, and complex relationships between banks, a dynamic complex interbank network model with shadow banking under different network structures is proposed. Based on the model, the effects of ROI, investment periods, average deposit, deposit interest rate, the density of shadow banks, and asset loss are studied quantitatively, and the sensitivity and difference of the banking system with shadow banking under different interbank networks are compared and analyzed. The findings indicate that the spread of systemic risks between banks is closely related to the interbank network structures. With the relatively concentrated interbank network structure, it is easier to increase the probability and degree of risk contagion. Under the random, small-world, and scale-free networks, the random network has the strongest ability to resist and absorb risks, while the small-world network is the weakest. However, once the banking network suffers a big shock, excessive risk will directly break through the protection of the banking network, detonate the systematic risk, and destroy the stability of the banking system with shadow banking. This study contributes to a future empirical research agenda on the topic. Moreover, it gives a reference for policymakers and regulatory authorities to prevent systemic risk introduced by shadow banking.

中文翻译:

不同银行间网络结构下带影子银行业务的银行系统的稳定性

随着金融市场的快速发展,系统性风险的爆发受到多种因素的影响,其中影子银行被认为是造成金融危机,破坏银行体系稳定性的重要原因。鉴于银行系统的稳定性,考虑到影子银行,银行间同业拆借以及银行之间的复杂关系,提出了一种动态影子银行在不同网络结构下的复杂银行间网络模型。在此模型的基础上,定量研究了投资回报率,投资期限,平均存款,存款利率,影子银行的密度和资产损失的影响,得出了影子银行在不同银行间网络下的敏感性和差异性。比较和分析。研究结果表明,银行之间系统性风险的扩散与银行间网络结构密切相关。通过相对集中的银行间网络结构,更容易增加风险传染的可能性和程度。在随机,小世界和无标度网络下,随机网络具有最强的抵抗和吸收风险的能力,而小世界网络则最弱。但是,一旦银行网络遭受巨大冲击,过多的风险将直接突破银行网络的保护,引爆系统性风险,并通过影子银行破坏银行系统的稳定性。这项研究有助于该主题的未来实证研究议程。而且,
更新日期:2021-04-11
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