Predicting Corporate Failure: Empirical Evidence for the UK
AbstractThe 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.
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Bibliographic InfoPaper provided by University of Southampton - Department of Accounting and Management Science in its series Papers with number 01-173.
Length: 29 pages
Date of creation: 2001
Date of revision:
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Postal: University of Southampton, Department of Accounting & Mangement Science, Southampton S09 5NH UK.
Phone: 44 0173 592537/592555
Fax: 44 0173 593858
Web page: http://www.soton.ac.uk/~econweb/
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- H49 - Public Economics - - Publicly Provided Goods - - - Other
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
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- S. Balcaen & H. Ooghe, 2004.
"Alternative methodologies in studies on business failure: do they produce better results than the classical statistical methods?,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
04/249, Ghent University, Faculty of Economics and Business Administration.
- 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.
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