银行系统流动性风险传染的建模与数学分析

Hamza Mourad, Said Fahim, Adriana Burlea‐Schiopoiu, M. Lahby, Abdelbaki Attioui
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引用次数: 1

摘要

近年来,世界各国银行都受到流动性风险问题的威胁。这种现象对银行构成了毁灭性的财务威胁,在疏忽或低估的情况下可能导致不可挽回的后果。本文在SIR流行病模型仿真的基础上,研究了描述银行体系流动性风险传染的数学模型。该模型由三个常微分方程组成,说明易受流动性风险或影响的银行与倾向于破产的银行之间的相互作用。我们已经证明了解决方案的诞生性和积极性,并对该系统进行了数学分析,以演示如何控制银行系统的稳定性。用实际数据进行了数值模拟,验证了所研究的不同系统参数对流动性风险传染的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System
In recent times, all world banks have been threatened by the liquidity risk problem. This phenomenon represents a devastating financial threat to banks and may lead to irrecoverable consequences in case of negligence or underestimation. In this article, we study a mathematical model that describes the contagion of liquidity risk in the banking system based on the SIR epidemic model simulation. The model consists of three ordinary differential equations illustrating the interaction between banks susceptible or affected by liquidity risk and tending towards bankruptcy. We have demonstrated the bornness and positivity of the solutions, and we have mathematically analyzed this system to demonstrate how to control the banking system’s stability. Numerical simulations have been illustrated by using real data to support the analytical results and prove the effects of different system parameters studied on the contagion of liquidity risk.
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