The Evolution of Bank Regulatory Modeling: Integrating Artificial Intelligence with Traditional Statistical Frameworks

Authors

  • NARESH SRITHAREN

Keywords:

Artificial Intelligence, Bank Regulatory Modeling, Hybrid Architectures, Explainable AI, Credit Risk Assessment

Abstract

The integration of artificial intelligence and machine learning techniques into bank regulatory modelingrepresents a fundamental shift in how financial institutions approach risk assessment, stress testing, and capital planning. This article

References

Heng Z Chen, "An interpretable Comprehensive Capital Analysis and Review (CCAR) neural network model for portfolio loss forecasting and stress testing," ResearchGate, January 2021. [Online].

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Published

2025-11-15

How to Cite

NARESH SRITHAREN. (2025). The Evolution of Bank Regulatory Modeling: Integrating Artificial Intelligence with Traditional Statistical Frameworks. Journal of Computational Analysis and Applications (JoCAAA), 34(11), 403–413. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4148

Issue

Vol. 34 No. 11 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.