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Review of Quantitative Finance and Accounting

, Volume 17, Issue 2, pp 151–166 | Cite as

The Limitations of Bankruptcy Prediction Models: Some Cautions for the Researcher

  • John Stephen Grice
  • Michael T. Dugan
Article

Abstract

The purpose of this study is to demonstrate potential problems associated with the use of bankruptcy prediction models in current research. The tests in this study demonstrate the problems that may arise when bankruptcy prediction models are inappropriately applied. This analysis evaluated the Zmijewski (1984) and Ohlson (1980) models using time periods, industries, and financial distress situations other than those used to originally develop the models. The findings indicated that both models were sensitive to time periods. That is, the accuracy of the models declined when applied to time periods different from those used to develop the models. The findings also suggest that the accuracy of each model continues to decline moving from the 1988–1991 to the 1992–1999 sample period. Additionally, Ohlson's (Zmijewski's) model was (was not) sensitive to industry classifications. The findings of this study also suggest that the Ohlson and Zmijewski models are not sensitive to financial distress situations other than those used to develop the models. Thus, the models appear to be more generally useful for predicting financial distress, not just bankruptcy.

In sum, the results of this study suggest that researchers should use bankruptcy prediction models cautiously. Applying the models to time periods and industries other than those used to develop the models may result in a significant decline in the models' accuracies. Additionally, some bankruptcy prediction models may be more appropriate for evaluating various forms of financial distress as opposed to just bankruptcy. To avoid erroneous applications of bankruptcy prediction models in the future, it is necessary for researchers not only to understand the uses of prediction models, but also to understand the limitations of the models.

bankruptcy bankruptcy prediction models 

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References

  1. Altman, E. I., “Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy.” Journal of Finance 589–609, (1968).Google Scholar
  2. Begley, J., J. Ming and S. Watts, “Bankruptcy Classification Errors in the 1980s: An Empirical Analysis of Altman's and Ohlson's Models.” Review of Accounting Studies 1, 267–284, (1996).Google Scholar
  3. Berger, P. G., E. Ofek and I. Swary, “Investor Valuation of the Abandonment Option.” Journal of Financial Economics 42, 257–287, (1996).Google Scholar
  4. Burgstahler, D., J. Jiambalvo and E. Noreen, “Changes in the Probability of Bankruptcy and EquityValue.” Journal of Accounting and Economics 11, 207–224, (1989).Google Scholar
  5. Carcello, J. V., D. R. Hermanson and H. F. Huss, “Temporal Changes in Bankruptcy-Related Reporting.” Auditing: A Journal of Practice & Theory Fall, 131–143, (1995).Google Scholar
  6. Chen, C. W. and B. K. Church, “Going Concern Opinions and the Market's Reaction to Bankruptcy.” The Accounting Review January, 117–128, (1996).Google Scholar
  7. Deakin, E. B., “A Discriminant Analysis of Predictors of Business Failure.” Journal of Accounting Research 167–179, (1972).Google Scholar
  8. Gilbert, L. R., K. Menon and K. B. Schwartz, “Predicting Bankruptcy for Firms in Financial Distress.” Journal of Business Finance & Accounting Spring, 161–171, (1990).Google Scholar
  9. Grice, J. S. and R. Ingram, “Test of the Generalizability of Altman's Bankruptcy Prediction Model.” Journal of Business Research Forthcoming, (2000).Google Scholar
  10. Holmen, J. S., “Using Financial Ratios to Predict Bankruptcy: An Evaluation of Classic Models Using Recent Evidence.” Akron Business and Economic Review Spring, 52–63, (1988).Google Scholar
  11. Jones, F. L., “Current Techniques in Bankruptcy Prediction.” Journal of Accounting Literature 6, 131–164, (1987).Google Scholar
  12. Mensah, Y. M., “The Differential Bankruptcy Predictive Ability of Specific Price Level Adjustments: Some Empirical Evidence.” The Accounting Review April, 228–246, (1983).Google Scholar
  13. Moriarity, S., “Communicating Financial Information Through Multidimensional Graphics.” Journal of Accounting Research Spring, 205–224, (1984).Google Scholar
  14. Moyer, R. C., “Forecasting Financial Failure: A Re-examination.” Financial Management Spring, 11–17, (1977).Google Scholar
  15. Ohlson, J. A., “Financial Ratios and the Probabilistic Prediction of Bankruptcy.” Journal of Accounting Research Spring, 109–131, (1980).Google Scholar
  16. Ott, R. L., An Introduction to Statistical Methods and Data Analysis, California: Wadsworth, Publishing Inc., 1993.Google Scholar
  17. Platt, D. H. and M. B. Platt, “Development of a Class of Stable Predictive Variables: The Case of Bankruptcy Prediction.” Journal of Business Finance & Accounting Spring, 31–51, (1990).Google Scholar
  18. Robertson, J. and R. Mills, “The Uses and Abuses of Corporate Prediction Models.” Management Accounting, 20–22, (1991).Google Scholar
  19. Subramanyan, K. R. and J. J. Wild, “Going-concern Status, Earnings Persistence, and Informativeness of Earnings.” Contemporary Accounting Research Spring, 251–273, (1996).Google Scholar
  20. Zavgren, C., “The Prediction of Corporate Failure: The State of the Art.” Journal of Accounting Literature 2, 1–38, (1983).Google Scholar
  21. Zavgren, C., “Assessing the Vulnerability to Failure of American Industrial Firms: A Logistic Analysis.” Journal of Business Finance and Accounting Spring, 19–45, (1985).Google Scholar
  22. Zmijewski, M. E., “Essays on Corporate Bankruptcy.” Ph.D. Dissertation, State University of NewYork at Buffalo, (1983).Google Scholar
  23. Zmijewski, M. E., “Methodological Issues Related to the Estimation of Financial Distress Prediction Models.” Journal of Accounting Research 24, 59–82, (1984).Google Scholar

Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • John Stephen Grice
    • 1
  • Michael T. Dugan
    • 2
  1. 1.Troy State UniversityUSA
  2. 2.The University of AlabamaUSA

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