A Neural Network Model for Bankruptcy Prediction -Domestic KSE listed Bankrupted Companies after the foreign exchange crisis in 1997

인공신경망을 이용한 기업도산 예측 - IMF후 국내 상장회사를 중심으로 -

This paper is concerned with analysing the bankruptcy prediction power of three models: Multivariate Discriminant Analysis(MDA ), Logit Analysis, Neural Network. The after-crisis bankrupted companies were limited to the research data and the listed companies belonging to manufacturing industry was limited to the research data so as to improve prediction accuracy and validity of the model. In order to assure meaningful bankruptcy prediction, training data and testing data were not extracted within the corresponding period. The result is that prediction accuracy of neural network model is more excellent than that of logit analysis and MDA model when considering that execution of testing data was followed by execution of training data.