The Bankruptcy Prediction Analysis : Focused on Post IMF KSE-listed Companies

Jeong Yu-Seok; Lee Hyun-Soo; Chae Young-Il; Hong Bong-Hwa

The Bankruptcy Prediction Analysis : Focused on Post IMF KSE-listed Companies

Jeong Yu-Seok, Lee Hyun-Soo, Chae Young-Il, Hong Bong-Hwa, Journal of Internet Computing and Services, Vol. 7, No. 1, pp. 75-90, Feb. 2006
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Keywords: Web Integration, Web Management Tool

Abstract

This paper is concerned with analysing the bankruptcy prediction power of three models: Multivariate Discriminant Analysis(MDA), Logit Analysis, Neural Network. The research targeted the bankrupted companies after the foreign exchange crisis in 1997 to differentiate from previous research efforts, and all participating companies were randomly selected from the KSE listed companies belonging to manufacturing industry 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 networks 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.

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Cite this article

[APA Style]

Yu-Seok, J., Hyun-Soo, L., Young-Il, C., & Bong-Hwa, H. (2006). The Bankruptcy Prediction Analysis : Focused on Post IMF KSE-listed Companies. Journal of Internet Computing and Services, 7(1), 75-90.

[IEEE Style]

J. Yu-Seok, L. Hyun-Soo, C. Young-Il, H. Bong-Hwa, "The Bankruptcy Prediction Analysis : Focused on Post IMF KSE-listed Companies," Journal of Internet Computing and Services, vol. 7, no. 1, pp. 75-90, 2006.

[ACM Style]

Jeong Yu-Seok, Lee Hyun-Soo, Chae Young-Il, and Hong Bong-Hwa. 2006. The Bankruptcy Prediction Analysis : Focused on Post IMF KSE-listed Companies. Journal of Internet Computing and Services, 7, 1, (2006), 75-90.