Detecting Criminal Firms: A Machine Learning Approach
The paper develops a machine learning algorithm using financial data to identify Italian private firms linked to organized crime. By analyzing firms with Mafia connections, it achieves a 74.9% AUC and 91.4% precision. This method serves as a risk management tool and supports legal enforcement actions.