Implementation of the banking dynamics model using a system of deterministic differential equations

Introduction This study discusses modeling the interaction among components of a bank’s balance sheet, consisting of deposit, loan, and equity, as a useful tool for analyzing risk conditions arising from factors such as non-performing loans (NPSLs) and deposit withdrawals. Methods The model utilizes a deterministic differential equation system based on a modified logistic growth model. Results When applied to data of selected banks in Indonesia under certain assumptions, the model effectively describes the growth of their balance sheets. Discussion Our findings indicate that banks with higher core capital do not necessarily exhibit more stable equilibrium than those with lower core capital. Additionally, the equity equilibrium does not show a consistent pattern among banks with varying levels of core capital.

Authors

Publication Details

Journal
Frontiers in Applied Mathematics and Statistics
Published
2025-04-04
DOI
https://doi.org/10.3389/fams.2025.1517447
Citations
1
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
2.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of the banking dynamics model using a system of deterministic differential equations

Abhay Vincent, Novriana Sumarti
1 citations
Frontiers in Applied Mathematics and Statistics
Banking stability, regulation, efficiency
2.21
article

Implementation of the banking dynamics model using a system of deterministic differential equations

Abhay Vincent, Novriana Sumarti
article en
1 citations

Abstract

Introduction This study discusses modeling the interaction among components of a bank’s balance sheet, consisting of deposit, loan, and equity, as a useful tool for analyzing risk conditions arising from factors such as non-performing loans (NPSLs) and deposit withdrawals. Methods The model utilizes a deterministic differential equation system based on a modified logistic growth model. Results When applied to data of selected banks in Indonesia under certain assumptions, the model effectively describes the growth of their balance sheets. Discussion Our findings indicate that banks with higher core capital do not necessarily exhibit more stable equilibrium than those with lower core capital. Additionally, the equity equilibrium does not show a consistent pattern among banks with varying levels of core capital.

Frontiers in Applied Mathematics and StatisticsVol. 11
Openalex Percentile: Top 16%
Banking stability, regulation, efficiency
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.