International Journal of Applied Sciences & Development
E-ISSN: 2945-0454
Volume 5, 2026
A Neural Lotka–Volterra Approach to Modeling Sustainability Risks in Finance
Authors: , ,
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Abstract: This article explores the challenges of sustainable finance and innovative risk management approaches in Georgia, employing a neural differential equation based on the Lotka–Volterra perspective (NLV) to model the complex interactions among financial institutions, environmental factors, and regulatory bodies. By applying this model, we examine how various risk management strategies—such as green bonds, carbon pricing, and environmental stress testing—can affect the stability and sustainability of Georgia's financial ecosystem. The study concludes with policy recommendations for the National Bank of Georgia and other stakeholders to foster a resilient and sustainable financial sector. To emphasize the interdisciplinary nature of the research, the article explicitly integrates insights from finance, environmental science, and mathematical modeling.
Keywords:
environmental science, sustainable finance, ecosystem, neural differential equations, Lotka–Volterra
Pages: 104-108
DOI: 10.37394/232029.2026.5.12