Ming Jia
Beijing Technology and Business University
Ming Jia, graduated from Beijing Technology and Business University (BTBU) with a master’s degree, specializing in computer technology, supervised by Associate Professor Jiaming Liu. His research interests include the application of natural language processing, deep learning, multimodal and other methods in financial distress prediction.
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Articles by Ming Jia
Incorporating financial reports and deep learning for financial distress prediction: empirical evidence from Chinese listed companies
The authors investigate the use of text information processing methods for financial distress prediction and how this method can be combined with traditional means to improve prediction accuracy.
Soft information in financial distress prediction: evidence of textual features in annual reports from Chinese listed companies
The authors use textual data in a model to predict financial distress, demonstrating that this can enhance prediction outcome versus traditional financial data alone.