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March 22, 20260 citationsOpen Access

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

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PCPankaj Balwantrao ChaudhariRBRavindra Borkar

Key Points

  • This research examines the role of artificial intelligence in enhancing financial risk management in developing countries.
  • Data collection from 850 finance professionals in India, Brazil, and South Africa.
  • Application of neural networks and random forests for risk prediction.
  • Utilization of cross-validation testing to evaluate AI models.
  • AI models showed 28% higher accuracy than traditional methods.
  • Improved 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. (2026) studied this question.

synapsesocial.com/papers/69bf390ac7b3c90b18b432eehttps://doi.org/10.5281/zenodo.19136553
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