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《Systems Engineering》 2005-11
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Financial Distress Early Warning Based on MDA and ANN Technique

ZHANG Ling,CHEN Shou,ZHANG Xin(College of Business Administration,Hunan University.Changsha 410082,China)  
This paper makes use of the financial statements of listed companies in China Stock Exchange and build a(successful) model for corporate failure diagnosis by MDA and ANN technique.The results show that both models can predict corporate financial distress very well,ANN's prediction ability is superior than MDA for short term up to two years,but no significant improvement.The research also proves that under current accounting system and rules in China,financial statements are able to provide sufficient information for the prediction of financial distressed corporations.
【Fund】: 国家自然科学基金资助项目(70172018)
【CateGory Index】: F275
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