Financial Distress Prediction Using Deep Learning Models.

Constructed deep learning-based models for corporate financial distress prediction, utilizing advanced time series techniques to support early risk identification for investors and creditors.

Gained high performances with advanced deep learning architectures — Transformers and Attention-based LSTM models attained over 95% accuracy.