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Predicting Corporate Failure: Empirical Evidence for the UK

Author

Listed:
  • Neophytou, E.
  • Charitou, A.
  • Charalambous, C.

Abstract

The main purpose of this paper is the development and validation of a failure classification model for UK public industrial companies using current techniques: logit analysis and Neural Networks. Our dataset consists of 51 matched-pairs of failed and nonfailed UK public industrial firms over the period 1988-1997. Prediction models are developed for up to three years prior to the failure event.

Suggested Citation

  • Neophytou, E. & Charitou, A. & Charalambous, C., 2001. "Predicting Corporate Failure: Empirical Evidence for the UK," Papers 01-173, University of Southampton - Department of Accounting and Management Science.
    • Handle: RePEc:fth:sotoam:01-173
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    Citations

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    Cited by:

    1. Balcaen S. & Ooghe H., 2004. "Alternative methodologies in studies on business failure: do they produce better results than the classic statistical methods?," Vlerick Leuven Gent Management School Working Paper Series 2004-16, Vlerick Leuven Gent Management School.
    2. Varadraj Bapat & Abhay Nagale, 2014. "Comparison of Bankruptcy Prediction Models: Evidence from India," Accounting and Finance Research, Sciedu Press, vol. 3(4), pages 1-91, August.
    3. Bhanu Pratap Singh & Alok Kumar Mishra, 2016. "Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-28, December.

    More about this item

    Keywords

    INDUSTRIAL SECTOR ; CASH FLOW ; PROFIT;
    All these keywords.

    JEL classification:

    • H49 - Public Economics - - Publicly Provided Goods - - - Other
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

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