AI adoption proxies from text and patents improve out-of-sample distress prediction in Chinese firms when machine learning models use temporally pruned recent training windows.
Forecasting bankruptcy more accurately: A simple hazard model
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A new dictionary-based text score from 10-K narratives adds incremental power to accounting-based bankruptcy prediction, lifting AUC by 0.07 and top-decile capture from 44% to 65% in holdout evaluation.
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Forecasting financial distress in dynamic environments AI adoption signals and temporally pruned training windows
AI adoption proxies from text and patents improve out-of-sample distress prediction in Chinese firms when machine learning models use temporally pruned recent training windows.