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Review of Categorical Models for Classification Issues in Accounting and Finance

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  • Barniv, Ran
  • McDonald, James B

Abstract

Recent studies have extensively used the logit or probit models for classification problems in accounting and finance. More than 289 articles in prestigious journals have used these or similar methods from 1989 through 1996. This paper reviews several categorical techniques and compares the performance of logit or probit with alternative procedures. Intuitive and mathematical explanations of how the models examined differ in terms of underlying assumptions and other attributes are provided. The alternative techniques are applied to two substantive research questions: predicting bankruptcy and auditors' consistency judgements. Four empirical criteria provide some evidence that the exponential generalized beta of the second kind (EGB2), lomit, and burrit (all new to the accounting and finance literature) improve the log-likelihood functions, and the explanatory power, compared with logit and other models. EGB2, lomit and burrit also provide significantly better classifications and predictions than logit and other techniques. Copyright 1999 by Kluwer Academic Publishers

Suggested Citation

  • Barniv, Ran & McDonald, James B, 1999. "Review of Categorical Models for Classification Issues in Accounting and Finance," Review of Quantitative Finance and Accounting, Springer, vol. 13(1), pages 39-62, July.
    • Handle: RePEc:kap:rqfnac:v:13:y:1999:i:1:p:39-62
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    Cited by:

    1. Marco Alfò & Stefano Caiazza & Giovanni Trovato, 2005. "Extending a Logistic Approach to Risk Modeling through Semiparametric Mixing," Journal of Financial Services Research, Springer;Western Finance Association, vol. 28(1), pages 163-176, October.
    2. Willem Karel M. Brauers & Romualdas Ginevičius & Askoldas Podviezko, 2014. "Development of a Methodology of Evaluation of Financial Stability of Commercial Banks," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(3), pages 349-367, June.
    3. Steven Caudill & Norman Godwin, 2002. "Heterogeneous skewness in binary choice models: Predicting outcomes in the men's NCAA basketball tournament," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(7), pages 991-1001.
    4. Chrysovalantis Gaganis, 2009. "Classification techniques for the identification of falsified financial statements: a comparative analysis," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(3), pages 207-229, July.
    5. Fotios Pasiouras & Chrysovalantis Gaganis & Michael Doumpos, 2007. "A multicriteria discrimination approach for the credit rating of Asian banks," Annals of Finance, Springer, vol. 3(3), pages 351-367, July.
    6. Becchetti, Leonardo & Castelli, Annalisa & Hasan, Iftekhar, 2008. "Investment-cash flow sensitivities, credit rationing and financing constraints," Research Discussion Papers 15/2008, Bank of Finland.
    7. Florou, Annita & Kosi, Urska & Pope, Peter F., 2017. "Are international accounting standards more credit relevant than domestic standards?," LSE Research Online Documents on Economics 68202, London School of Economics and Political Science, LSE Library.
    8. Pasiouras, Fotios & Gaganis, Chrysovalantis & Zopounidis, Constantin, 2007. "Multicriteria decision support methodologies for auditing decisions: The case of qualified audit reports in the UK," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1317-1330, August.
    9. Lis Bettina & Nessler Christian & Retzmann Jan, 2011. "The Proposition Value Of Corporate Ratings - A Reliability Testing Of Corporate Ratings By Applying Roc And Cap Techniques," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 6(2), pages 60-90, August.
    10. repec:zbw:bofrdp:2008_015 is not listed on IDEAS
    11. Becchetti, Leonardo & Castelli, Annalisa & Hasan, Iftekhar, 2008. "Investment-cash flow sensitivities, credit rationing and financing constraints," Bank of Finland Research Discussion Papers 15/2008, Bank of Finland.
    12. Salwa Kessioui & Michalis Doumpos & Constantin Zopounidis, 2023. "A Bibliometric Overview of the State-of-the-Art in Bankruptcy Prediction Methods and Applications," World Scientific Book Chapters, in: Emilios Galariotis & Alexandros Garefalakis & Christos Lemonakis & Marios Menexiadis & Constantin Zo (ed.), Governance and Financial Performance Current Trends and Perspectives, chapter 6, pages 123-153, World Scientific Publishing Co. Pte. Ltd..
    13. Michael J. Peel, 2014. "Addressing unobserved endogeneity bias in accounting studies: control and sensitivity methods by variable type," Accounting and Business Research, Taylor & Francis Journals, vol. 44(5), pages 545-571, October.
    14. Leonardo Becchetti & Annalisa Castelli & Iftekhar Hasan, 2010. "Investment–cash flow sensitivities, credit rationing and financing constraints in small and medium-sized firms," Small Business Economics, Springer, vol. 35(4), pages 467-497, November.
    15. Takashi Obinata, 2000. "Choice of Pension Discount Rate in Financial Accounting adn Stock Prices," CIRJE F-Series CIRJE-F-82, CIRJE, Faculty of Economics, University of Tokyo.
    16. João Fernandes, 2005. "Corporate Credit Risk Modeling: Quantitative Rating System And Probability Of Default Estimation," Finance 0505013, University Library of Munich, Germany.
    17. Pasiouras, Fotios & Tanna, Sailesh & Zopounidis, Constantin, 2007. "The identification of acquisition targets in the EU banking industry: An application of multicriteria approaches," International Review of Financial Analysis, Elsevier, vol. 16(3), pages 262-281.

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