Prediction of financial distress: An empirical study of listed Chinese companies using data mining

European Journal of Operational Research

Volumn 241, Issue 1, 2015, Pages 236-247

  Geng, Ruibin ^a   Bose, Indranil ^b   Chen, Xi ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b INDIAN INSTITUTE OF MANAGEMENT CALCUTTA   (India)

Author keywords

Chinese companies; Financial distress; Financial indicators; Majority voting; Neural network

Indexed keywords

DATA MINING; DECISION TREES; DETERIORATION; EARNINGS; FORECASTING; LOSSES; NEURAL NETWORKS; PROFITABILITY;

CHINESE COMPANIES; DIFFERENT TIME WINDOWS; EARLY WARNING SYSTEM; FINANCIAL DISTRESS; FINANCIAL INDICATOR; MAJORITY VOTING; SHANGHAI STOCK EXCHANGES; SHENZHEN STOCK EXCHANGES;

FINANCE;

EID: 85027952626     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2014.08.016     Document Type: Article

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