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The Effect Of Prior Probability Disclosure And Information Set Construction On Bankers Ability To Predict Failure

Author

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  • HOUGHTON, KA
  • SENGUPTA, R

Abstract

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Suggested Citation

  • Houghton, Ka & Sengupta, R, 1984. "The Effect Of Prior Probability Disclosure And Information Set Construction On Bankers Ability To Predict Failure," Journal of Accounting Research, Wiley Blackwell, vol. 22(2), pages 768-775.
    • Handle: RePEc:bla:joares:v:22:y:1984:i:2:p:768-775
    DOI: http://hdl.handle.net/10.2307/2490679
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    Citations

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    Cited by:

    1. Fayçal Mraihi, 2016. "Distressed Company Prediction Using Logistic Regression: Tunisian’s Case," Quarterly Journal of Business Studies, Research Academy of Social Sciences, vol. 2(1), pages 34-54.
    2. Divesh Sharma & Errol Iselin, 2003. "The decision usefulness of reported cash flow and accrual information in a behavioural field experiment," Accounting and Business Research, Taylor & Francis Journals, vol. 33(2), pages 123-135.
    3. 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.
    4. 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.
    5. Fayçal Mraihi & Inane Kanzari & Mohamed Tahar Rajhi, 2015. "Development of a Prediction Model of Failure in Tunisian Companies: Comparison between Logistic Regression and Support Vector Machines," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(3), pages 184-205.
    6. Adli Abouzeedan & Michael Busler, 2005. "ASPEM as the New Topographic Analysis Tool for Small and Medium-Sized Enterprises (SMEs) Performance Models Utilization," Journal of International Entrepreneurship, Springer, vol. 3(1), pages 53-70, January.

    More about this item

    Keywords

    Corporate failure; Bank loan officers; Prediction accuracy; Information set;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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