Subject
2 entries
Fraud Detection
Bookmarks
Crypto Wash Trading
A finance paper by Cong, Li, Tang, and Yang that introduces systematic statistical tests for detecting wash trading on unregulated cryptocurrency exchanges, finding over 70% of reported volume is fake. The methodology — Benford's Law, size rounding patterns, tail distributions — is reusable forensic infrastructure for any manipulated market.
A Road to Smarter Payments with Machine Learning and Predictive Analytics
Payments Views on applying machine learning to payment processing — primarily fraud detection, risk scoring, and authorization optimization. An early 2013 take on what would become a core fintech ML use case.
