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Failure prediction: Sensitivity of classification accuracy to alternative statistical methods and variable sets

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  • Hamer, Michelle M.

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  • Hamer, Michelle M., 1983. "Failure prediction: Sensitivity of classification accuracy to alternative statistical methods and variable sets," Journal of Accounting and Public Policy, Elsevier, vol. 2(4), pages 289-307.
  • Handle: RePEc:eee:jappol:v:2:y:1983:i:4:p:289-307
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    Cited by:

    1. Murray Nash & Michael Anstis & Michael Bradbury, 1989. "Testing Corporate Model Prediction Accuracy," Australian Journal of Management, Australian School of Business, vol. 14(2), pages 211-221, December.
    2. Eleimon Gonis & Salima Paul & Jon Tucker, 2012. "Rating or no rating? That is the question: an empirical examination of UK companies," The European Journal of Finance, Taylor & Francis Journals, vol. 18(8), pages 709-735, September.
    3. Hunter, John & Isachenkova, Natalia, 2006. "Aggregate economy risk and company failure: An examination of UK quoted firms in the early 1990s," Journal of Policy Modeling, Elsevier, vol. 28(8), pages 911-919, November.
    4. Kurt M. Fanning & Kenneth O. Cogger, 1994. "A Comparative Analysis of Artificial Neural Networks Using Financial Distress Prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 3(4), pages 241-252, December.
    5. Davalos, Sergio & Gritta, Richard D. & Adrangi, Bahram, 2007. "Deriving Rules for Forecasting Air Carrier Financial Stress and Insolvency: A Genetic Algorithm Approach," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 46(2).
    6. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    7. Antonio David Somoza Lopez & Josep Vallverdu Calafell, 2003. "Una comparacion de la seleccion de los ratios contables en los modelos contable-financieros de prediccion de la insolvencia empresarial," Working Papers in Economics 94, Universitat de Barcelona. Espai de Recerca en Economia.
    8. Jackson, Richard H.G. & Wood, Anthony, 2013. "The performance of insolvency prediction and credit risk models in the UK: A comparative study," The British Accounting Review, Elsevier, vol. 45(3), pages 183-202.
    9. Andrea Bedin & Monica Billio & Michele Costola & Loriana Pelizzon, 2019. "Credit Scoring in SME Asset-Backed Securities: An Italian Case Study," JRFM, MDPI, vol. 12(2), pages 1-28, May.
    10. Patrick Boisselier & Dominique Dufour, 2003. "Scoring Et Anticipation De Defaillance Des Entreprises : Une Approche Par La Regression Logistique," Post-Print halshs-00582740, HAL.
    11. Jason J. Constable & David R. Woodliff, 1994. "Predicting Corporate Failure Using Publicly Available Information," Australian Accounting Review, CPA Australia, vol. 4(7), pages 13-27, May.
    12. Gregory D. Kane & Frederick M. Richardson & Patricia Graybeal, 1996. "Recession†Induced Stress and the Prediction of Corporate Failure," Contemporary Accounting Research, John Wiley & Sons, vol. 13(2), pages 631-650, September.
    13. Chrysovalantis Gaganis & Fotios Pasiouras & Charalambos Spathis & Constantin Zopounidis, 2007. "A comparison of nearest neighbours, discriminant and logit models for auditing decisions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 15(1‐2), pages 23-40, January.
    14. Laitinen, Erkki K., 2007. "Classification accuracy and correlation: LDA in failure prediction," European Journal of Operational Research, Elsevier, vol. 183(1), pages 210-225, November.
    15. Murugan Anandarajan & Picheng Lee & Asokan Anandarajan, 2001. "Bankruptcy prediction of financially stressed firms: an examination of the predictive accuracy of artificial neural networks," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(2), pages 69-81, June.
    16. Iman Aghaei & Amin Sokhanvar, 2020. "Factors influencing SME owners’ continuance intention in Bangladesh: a logistic regression model," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(3), pages 391-415, September.
    17. Hunter, John & Isachenkova, Natalia, 2001. "Failure risk: A comparative study of UK and Russian firms," Journal of Policy Modeling, Elsevier, vol. 23(5), pages 511-521, July.
    18. Piesse, J. & Wood, D., 1992. "Issues in assessing MDA models of corporate failure: A research note," The British Accounting Review, Elsevier, vol. 24(1), pages 33-42.
    19. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
    20. Hu, Yu-Chiang & Ansell, Jake, 2007. "Measuring retail company performance using credit scoring techniques," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1595-1606, December.
    21. Adrian Costea & Iulian Nastac, 2005. "Assessing the predictive performance of artifIcial neural network‐based classifiers based on different data preprocessing methods, distributions and training mechanisms," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 13(4), pages 217-250, December.
    22. Soo-Seon Park & Murat Hancer, 2012. "A Comparative Study of Logit and Artificial Neural Networks in Predicting Bankruptcy in the Hospitality Industry," Tourism Economics, , vol. 18(2), pages 311-338, April.
    23. Somerville, R. A. & Taffler, R. J., 1995. "Banker judgement versus formal forecasting models: The case of country risk assessment," Journal of Banking & Finance, Elsevier, vol. 19(2), pages 281-297, May.
    24. Chun-Yu Ho & Patrick McCarthy & Yi Yang & Xuan Ye, 2013. "Bankruptcy in the pulp and paper industry: market’s reaction and prediction," Empirical Economics, Springer, vol. 45(3), pages 1205-1232, December.
    25. A. Rashad Abdel†Khalik, 1993. "Discussion of “Financial Ratios and Corporate Endurance: A Case of the Oil and Gas Industry†," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 695-705, March.

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