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 t...

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Main Authors: Hamza Mourad, Said Fahim, Adriana Burlea-Schiopoiu, Mohamed Lahby, Abdelbaki Attioui
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2022/5382153
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author Hamza Mourad
Said Fahim
Adriana Burlea-Schiopoiu
Mohamed Lahby
Abdelbaki Attioui
author_facet Hamza Mourad
Said Fahim
Adriana Burlea-Schiopoiu
Mohamed Lahby
Abdelbaki Attioui
author_sort Hamza Mourad
collection DOAJ
description 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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institution Kabale University
issn 1687-0042
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-882b127fd8d74164a66a86a41cea1d052025-08-20T03:37:44ZengWileyJournal of Applied Mathematics1687-00422022-01-01202210.1155/2022/5382153Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking SystemHamza Mourad0Said Fahim1Adriana Burlea-Schiopoiu2Mohamed Lahby3Abdelbaki Attioui4University Hassan IIUniversity Hassan IIUniversity of CraiovaUniversity Hassan IIUniversity Hassan IIIn 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.http://dx.doi.org/10.1155/2022/5382153
spellingShingle Hamza Mourad
Said Fahim
Adriana Burlea-Schiopoiu
Mohamed Lahby
Abdelbaki Attioui
Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System
Journal of Applied Mathematics
title Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System
title_full Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System
title_fullStr Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System
title_full_unstemmed Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System
title_short Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System
title_sort modeling and mathematical analysis of liquidity risk contagion in the banking system
url http://dx.doi.org/10.1155/2022/5382153
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