Predicting Corporate Credit Ratings with Machine Learning: A Sector-Specific Evaluation Across U.S. Industries
Credit ratings play a crucial role in financial risk assessment, influencing borrowing costs, investment decisions, and overall market stability. As corporate financial data becomes more intricate, machine learning (ML) emerges as a promising tool to enhance traditional credit evaluation methods. This thesis investigates the predictive performance of six supervised ML algorithms—Support Vector Mac
