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http://ssrn.com/abstract=892160
 
 

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A Review of Bankruptcy Prediction Studies: 1930 to Present


Jodi L. Gissel


Marquette University

Don E. Giacomino


Marquette University - College of Business Administration

Michael D. Akers


Marquette University - College of Business Administration


Journal of Financial Education, Forthcoming

Abstract:     
One of the most well-known bankruptcy prediction models was developed by Altman [1968] using multivariate discriminant analysis. Since Altman's model, a multitude of bankruptcy prediction models have flooded the literature. The primary goal of this paper is to summarize and analyze existing research on bankruptcy prediction studies in order to facilitate more productive future research in this area. This paper traces the literature on bankruptcy prediction from the 1930's, when studies focused on the use of simple ratio analysis to predict future bankruptcy, to present. The authors discuss how bankruptcy prediction studies have evolved, highlighting the different methods, number and variety of factors, and specific uses of models.

Analysis of 165 bankruptcy prediction studies published from 1965 to present reveals trends in model development. For example, discriminant analysis was the primary method used to develop models in the 1960's and 1970's. Investigation of model type by decade shows that the primary method began to shift to logit analysis and neural networks in the 1980's and 1990's. The number of factors utilized in models is also analyzed by decade, showing that the average has varied over time but remains around 10 overall.

Analysis of accuracy of the models suggests that multivariate discriminant analysis and neural networks are the most promising methods for bankruptcy prediction models. The findings also suggest that higher model accuracy is not guaranteed with a greater number of factors. Some models with two factors are just as capable of accurate prediction as models with 21 factors.

Keywords: Bankruptcy, Business failure, Prediction, Models

JEL Classification: M40

working papers series





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Date posted: March 31, 2006  

Suggested Citation

Gissel, Jodi L. and Giacomino, Don E. and Akers, Michael D., A Review of Bankruptcy Prediction Studies: 1930 to Present. Available at SSRN: http://ssrn.com/abstract=892160

Contact Information

Jodi Lynn Gissel (Contact Author)
Marquette University ( email )
P.O. Box 1881
Milwaukee, WI 53201-1881
United States
Don E. Giacomino
Marquette University - College of Business Administration ( email )
P.O. Box 1881
Milwaukee, WI 53201-1881
United States
Michael D. Akers
Marquette University - College of Business Administration ( email )
P.O. Box 1881
Milwaukee, WI 53201-1881
United States
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