Jiaming Liu
Harbin Institute of Technology
Jiaming LIU was born in People’s Republic of China in 1988. He received his B.S. degree in Network Engineering from Dalian University of Technology, Dalian, China, in 2011, and his M.S. degree in System Engineering from Beijing Information & Control Institute, Beijing, China, in 2014. He is currently working toward his Ph.D degree under Prof. Chong WU at School of Economics and Management, Harbin Institute of Technology, Harbin, China. His current research interests include financial risk management, data mining in finance, and machine learning.
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Articles by Jiaming Liu
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.
A gradient-boosting decision-tree approach for firm failure prediction: an empirical model evaluation of Chinese listed companies
In this paper, the authors employ a gradient-boosting decision-tree method to improve firm failure prediction and explain how to better analyze the relative importance of each financial variable.