REVOLUTIONIZING RISK MANAGEMENT: INNOVATIVE APPROACHES IN COMMERCIAL BANKING

Authors

  • Yuldasheva Shahnoza Baxrom kizi Master's student at the Higher School of Business and Entrepreneurship

Keywords:

risk management, artificial intelligence (AI), machine learning (ML), blockchain, stress testing, regulatory technology (regtech), fraud detection, credit risk, data analytics, compliance.

Abstract

This article explores innovative approaches to risk management in commercial banks, focusing on the integration of advanced technologies, such as Artificial Intelligence (AI), Blockchain, and Machine Learning (ML), as well as new methodologies like stress testing and RegTech. It discusses the benefits of these innovations in enhancing risk prediction, compliance, fraud detection, and overall financial security. Additionally, it highlights the importance of data-driven decision.

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References

McKinsey & Company (2020): AI in fraud detection and its impact on reducing false positives.

PwC’s 2020 Global Blockchain Survey: The adoption of blockchain in financial services.

European Central Bank (2023): Stress testing models in European banks.

Deloitte (2021): The impact of RegTech on reducing compliance costs.

Gartner (2022): The role of data analytics in risk management decision-making.

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Published

2025-02-08

How to Cite

Yuldasheva Shahnoza Baxrom kizi. (2025). REVOLUTIONIZING RISK MANAGEMENT: INNOVATIVE APPROACHES IN COMMERCIAL BANKING. International Multidisciplinary Journal for Research & Development, 12(02). Retrieved from https://www.ijmrd.in/index.php/imjrd/article/view/2554

Issue

Vol. 12 No. 02 (2025): International Multidisciplinary Journal for Research & Development

Section

Articles

License

Creative Commons License

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