The Prediction of Corporate Bankruptcy: The Case of Listing and Non-listing Compnies in Taiwan

• Main Authors: Juo, Yi-Ru, 卓怡如
• Other Authors: Chiu, Shean-Bii
• Format: Others
• Language: zh-TW
• Published: 1995
• Online Access: http://ndltd.ncl.edu.tw/handle/20777245348548198556

碩士 === 國立臺灣大學 === 財務金融學研究所 === 83 === 　　The paper uses two different kinds of samples-- listing and non-listing companies --to establish predictiong model of corporate bankruptcy and discuss the following topics: 　　1.Are successful companies and bankrupt companies different in financial conditions? 　　2.which prediction model is better--traditional statistical model ( MDA or logit ) or neural network model? 　　3.which prediction variable is the best--corporate ratio( CR ), industry - relative ratio ( RR ), change of corporate ratio ( CR), and change of industry-relative ratio( RR )? 　　The results are as follows: 　　1.The financial conditions between successful and bankrupt companies are different, and performance of successful companies is better. 　　2.Neural network model is better than logit model, regarding total correct rate and type I error. 　　3.RR is the best prediction variable and RR is the worst. In additions, the perdition ability of CR and RR is worse than CR and RR.