Predicting Corporate Failure: Empirical Evidence for the UK

E. Neophytou, A. Charitou and C. Charalambous

Working Papers from University of Southampton - Department of Accounting and Management Science

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.

Keywords: INDUSTRIAL SECTOR; CASH FLOW; PROFIT (search for similar items in EconPapers)
JEL-codes: D21 H49 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (3)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fth:sotoam:01-173

Ordering information: This working paper can be ordered from
http://www.soton.ac.uk/~econweb/dp/discp.html

Access Statistics for this paper

More papers in Working Papers from University of Southampton - Department of Accounting and Management Science University of Southampton, Department of Accounting & Mangement Science, Southampton S09 5NH UK.. Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().