Nuttawaree Ratchpiboon

Predicting credit rating downgrades in emerging markets: A comparative analysis of artificial neural networks and traditional binary classification models

This research compares the effectiveness of machine-learning and traditional statistical techniques in predicting annual credit rating downgrades for Thai non-financial firms listed on the Stock Exchange of Thailand during 2018–2023, using a time-ordered train-validation-test framework for predictive model evaluation....