A fractional-order financial model: dynamics and stability analysis

This paper presents a fractional-order financial model integrating interest rates, investment demand, and price dynamics. The model is formulated as a three-dimensional system of Caputo fractional differential equations involving key economic parameters for saving amount, investment cost, elasticity of demand, A government control parameter to model economic stimulus and time varying critical rate to account for periodic economic shocks or policy cycles. Stability analysis via linearization and eigenvalue techniques confirms the local stability of the set of some equilibrium points. Notably, the fractional order α∈(0,1] introduces memory effects, expanding the system’s dynamic behavior beyond classical models. Existence of solution of governing equations model is provided using Banach fixed point theorem. Numerical simulations indicate conditional stability under the criterion |arg(λi)|>απ/2, and reveal cyclical patterns driven by complex eigenvalue pairs. These findings highlight the nuanced influence of fractional derivatives in financial modeling.

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Publication Details

Journal
Mathematical and Computer Modelling of Dynamical Systems
Published
2026-07-24
DOI
https://doi.org/10.1080/13873954.2026.2706230
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

A fractional-order financial model: dynamics and stability analysis

Nantaporn Chuensupantharat, Dhananjay Gopal, Vishal Nikam, Porawee Chotpitayasunon
Mathematical and Computer Modelling of Dynamical Systems
Fractional Differential Equations Solutions
article

A fractional-order financial model: dynamics and stability analysis

Nantaporn Chuensupantharat, Dhananjay Gopal, Vishal Nikam, Porawee Chotpitayasunon
article en

Abstract

This paper presents a fractional-order financial model integrating interest rates, investment demand, and price dynamics. The model is formulated as a three-dimensional system of Caputo fractional differential equations involving key economic parameters for saving amount, investment cost, elasticity of demand, A government control parameter to model economic stimulus and time varying critical rate to account for periodic economic shocks or policy cycles. Stability analysis via linearization and eigenvalue techniques confirms the local stability of the set of some equilibrium points. Notably, the fractional order α∈(0,1] introduces memory effects, expanding the system’s dynamic behavior beyond classical models. Existence of solution of governing equations model is provided using Banach fixed point theorem. Numerical simulations indicate conditional stability under the criterion |arg(λi)|>απ/2, and reveal cyclical patterns driven by complex eigenvalue pairs. These findings highlight the nuanced influence of fractional derivatives in financial modeling.

Mathematical and Computer Modelling of Dynamical SystemsVol. 32(1)
Guru Ghasidas Vishwavidyalaya (IN), Bansomdejchaopraya Rajabhat University (TH), G.S. Science, Arts And Commerce College (IN)
Decent work and economic growth
Openalex Percentile: Top 9%
Fractional Differential Equations Solutions
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A fractional-order financial model: dynamics and stability analysis — Nantaporn Chuensupantharat, Dhananjay Gopal, et al. · Mathematical and Computer Modelling of Dynamical Systems (2026) | TGRS Research Map | TGRS