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Optimizing Enterprise Financial Risk Management: An Advanced Ensemble Machine Learning Framework for Transactional Fraud Mitigation and Business ContinuityBy Shipra Aggarwal, Manish Aggarwal
Abstract: Transactional fraud represents a critical threat to enterprise risk management (ERM) and corporate governance, draining billions annually from global financial infrastructures. The Nasdaq Global Financial Crime Report estimates total fraud losses at $485.6 billion annually, with credit card fraud alone accounting for $28.6 billion. Managing this operational vulnerability is severely challenged by data asset asymmetry, where legitimate transactions dwarf fraudulent anomalies by a ratio exceeding 500:1. Standard classification models trained …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 9, Issue 2, 2026 Read article →