Empirical models based on features ranking techniques for corporate financial distress prediction

Computers and Mathematics with Applications

Volumn 64, Issue 8, 2012, Pages 2484-2496

  Zhou, Ligang ^a   Lai, Kin Keung ^b,c   Yen, Jerome ^d  

^a MACAU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Macao)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^d Tung Wah College   (Hong Kong)

Author keywords

Empirical models; Features ranking; Financial distress prediction

Indexed keywords

FORECASTING;

ACCURATE PREDICTION; CHINESE LISTED COMPANIES; EMPIRICAL MODEL; FEATURES RANKINGS; FINANCIAL DISTRESS PREDICTION; FINANCIAL STATEMENTS; PREDICTIVE ACCURACY; QUANTITATIVE METHOD;

FINANCE;

EID: 84866729677     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2012.06.003     Document Type: Article

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