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This research investigates the impact of artificial intelligence on financial risk management in emerging markets.

May 2, 2026Open Access

Digital Financial Literacy and Economic Resilience: Evidence from Emerging Asian Economies

Key Points

This research investigates the impact of artificial intelligence on financial risk management in emerging markets.
Examined data from 850 finance professionals in India, Brazil, and South Africa during early 2026.
Utilized AI models including neural networks and random forests for analysis.
Applied cross-validation testing to assess model accuracy.
AI models achieved 28% greater accuracy compared to traditional methods.
Demonstrated enhanced detection of risky loans during economic crises.
Suggested potential savings of $1.8 trillion for emerging markets 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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