What question did this study set out to answer?

The aim is to explore AI applications in improving financial risk management in emerging markets.

March 22, 2026Open Access

AI-Driven Financial Risk Management: Machine Learning Applications in Emerging Markets

Key Points

The aim is to explore AI applications in improving financial risk management in emerging markets.
Surveyed 850 finance professionals in India, Brazil, and South Africa
Utilized machine learning techniques such as neural networks and random forests
Employed cross-validation testing for model evaluation
AI models are 28% more accurate than traditional methods
Enhanced detection of risky loans during economic crises
AI systems could save emerging markets $1.8 trillion in potential losses by 2030

Abstract

AI-Driven Financial Risk Management in Emerging Markets This research paper examines how artificial intelligence improves financial risk prediction in developing countries. We collected data from 850 finance professionals in India, Brazil, and South Africa during early 2026. Key results: - AI models 28% more accurate than traditional methods- Better detection of risky loans during economic crises- Identifies problems traditional models miss Methods: Neural networks, random forests, cross-validation testing. Main finding: AI systems can save emerging markets 1. 8 trillion in potential losses by 2030. Published in: International Journal of Management and Organisational Research (IJMOR) Volume 1, Issue 1, March 2026Publisher: IFMOR (Section 8 Company) Keywords: AI finance, risk management, machine learning, emerging markets

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Cite This Study

Chaudhari et al. (Fri,) studied this question.

synapsesocial.com/papers/69bf3955c7b3c90b18b43e3d https://doi.org/https://doi.org/10.5281/zenodo.19136554

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