University of Exeter
Browse

The performance of insolvency prediction and credit risk models in the UK: a comparative study

Download (495.53 kB)
journal contribution
posted on 2025-08-06, 13:46 authored by Anthony Paul Wood, Richard H.G. Jackson
Theoretically driven, market-based contingent claims models have recently been applied to the field of corporate insolvency prediction in an attempt to provide the art with a theoretical methodology that has been lacking in the past. Limited studies have been carried out in order directly to compare the performance of these models with that of their accounting number-based counterparts. We use receiver operating characteristic curves to assess the efficacy of thirteen selected models using, for the first time, post-IFRS UK data; and investigate the distributional properties of model efficacy. We find that the efficacy of the models is generally less than that reported in the prior literature; but that the contingent claims models outperform models which use accounting numbers. We also obtain the counter-intuitive finding that predictions based on a single variable can be as efficient as those which are based on models which are far more complicated – in terms of variable variety and mathematical construction. Finally, we develop and test a naïve version of the down-and-out-call barrier option model for insolvency prediction and find that, despite its simple formulation, it performs favourably compared alongside other contingent claims models.

History

Related Materials

Notes

NOTICE: this is the author’s version of a work that was accepted for publication in The British Accounting Review. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in The British Accounting Review Volume 45, Issue 3, September 2013, Pages 183–202. DOI 10.1016/j.bar.2013.06.009

Journal

British Accounting Review

Publisher

Elsevier

Language

en

FOA date

2016-04-30T23:00:00Z

Citation

Volume 45, Issue 3, pp. 183–202

Department

  • Finance and Accounting

Usage metrics

    University of Exeter

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC