Predicting default of a small business using different definitions of financial distress

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

The paper introduces a number of risk-rating models for UK small businesses applying an accounting-based approach, which uses financial ratios to predict corporate bankruptcy. An enhancement to these models is considered through features typical to retail credit risk modelling. A common problem of default prediction consists in the relatively small number of bankruptcies or real defaults available for model-building. In order to expand the ‘default’ group beyond bankrupt companies, the paper considers adopting four different definitions of ‘a failing business’ by investigating combinations of financial distress levels. The impact of each default definition on the choice of predictor variables and on the model's predictive accuracy is explored. In addition, the paper examines the value of categorizing financial ratios used as predictor variables.
Original languageEnglish
Pages (from-to)539-548
JournalJournal of the Operational Research Society
Volume63
Issue number4
Early online date10 Aug 2011
DOIs
Publication statusPublished - Apr 2012

Keywords / Materials (for Non-textual outputs)

  • coarse classification
  • credit scoring
  • small business
  • risk
  • banking

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