Forecasting financial distress in dynamic environments AI adoption signals and temporally pruned training windows

Frederik Rech, Hussam Musa, Martin Šebeňa +1

Forecasting corporate financial distress increasingly requires capturing firms' adoption of transformative technologies such as artificial intelligence, yet model performance remai…