IDEAS home Printed from https://ideas.repec.org/a/bla/jbfnac/v26y1999i5-6p757-778.html
   My bibliography  Save this article

The Accuracy and Incremental Information Content of Audit Reports in Predicting Bankruptcy

Author

Listed:
  • Clive S. Lennox

Abstract

A series of corporate failures in which auditors failed to warn about impending bankruptcy led to widespread criticism of the UK auditing profession during the last recession. For a sample of 976 quoted companies (1987–94), this paper shows that there are two reasons why audit reports were not accurate or informative indicators of bankruptcy. First, audit reports poorly reflected publicly available information about the probability of bankruptcy. Secondly, strong persistence in audit reporting reduced the accuracy of audit reports

Suggested Citation

  • Clive S. Lennox, 1999. "The Accuracy and Incremental Information Content of Audit Reports in Predicting Bankruptcy," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(5‐6), pages 757-778, June.
  • Handle: RePEc:bla:jbfnac:v:26:y:1999:i:5-6:p:757-778
    DOI: 10.1111/1468-5957.00274
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1468-5957.00274
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1468-5957.00274?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Reza Monem, 2011. "The One.Tel Collapse: Lessons for Corporate Governance," Australian Accounting Review, CPA Australia, vol. 21(4), pages 340-351, December.
    2. Inga Chira, 2014. "Bad news and bank performance during the 2008 financial crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 24(18), pages 1187-1198, September.
    3. Antonio Fabio Forgione & Carlo Migliardo, 2019. "An empirical analysis of the impact of trade credit on bank debt restructuring," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 415-438, July.
    4. Fabrizio Bava & Melchior Gromis di Trana, 2021. "Big4 Versus Non-Big4 Opinion about the Going Concern Assessment: A Survey," International Journal of Business and Management, Canadian Center of Science and Education, vol. 14(2), pages 1-87, July.
    5. Klaus Ruhnke, 2003. "Nutzen von Abschlussprüfungen: Bezugsrahmen und Einordnung empirischer Studien," Schmalenbach Journal of Business Research, Springer, vol. 55(3), pages 250-280, May.
    6. Salwa Kessioui & Michalis Doumpos & Constantin Zopounidis, 2023. "A Bibliometric Overview of the State-of-the-Art in Bankruptcy Prediction Methods and Applications," World Scientific Book Chapters, in: Emilios Galariotis & Alexandros Garefalakis & Christos Lemonakis & Marios Menexiadis & Constantin Zo (ed.), Governance and Financial Performance Current Trends and Perspectives, chapter 6, pages 123-153, World Scientific Publishing Co. Pte. Ltd..
    7. Nora Muñoz-Izquierdo & María-del-Mar Camacho-Miñano & María-Jesús Segovia-Vargas & David Pascual-Ezama, 2019. "Is the External Audit Report Useful for Bankruptcy Prediction? Evidence Using Artificial Intelligence," IJFS, MDPI, vol. 7(2), pages 1-23, April.
    8. Chrysovalantis Gaganis, 2009. "Classification techniques for the identification of falsified financial statements: a comparative analysis," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(3), pages 207-229, July.
    9. Kerstin Lopatta & Mario Albert Gloger & Reemda Jaeschke, 2017. "Can Language Predict Bankruptcy? The Explanatory Power of Tone in 10‐K Filings," Accounting Perspectives, John Wiley & Sons, vol. 16(4), pages 315-343, December.
    10. Deqiu Chen & Li Li & Xuejiao Liu & Gerald J. Lobo, 2018. "Social Trust and Auditor Reporting Conservatism," Journal of Business Ethics, Springer, vol. 153(4), pages 1083-1108, December.
    11. Muñoz-Izquierdo, Nora & Segovia-Vargas, María Jesús & Camacho-Miñano, María-del-Mar & Pascual-Ezama, David, 2019. "Explaining the causes of business failure using audit report disclosures," Journal of Business Research, Elsevier, vol. 98(C), pages 403-414.
    12. Paul P. M. Pompe & Jan Bilderbeek, 2005. "Bankruptcy prediction: the influence of the year prior to failure selected for model building and the effects in a period of economic decline," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 13(2), pages 95-112, June.
    13. Pasiouras, Fotios & Gaganis, Chrysovalantis & Zopounidis, Constantin, 2007. "Multicriteria decision support methodologies for auditing decisions: The case of qualified audit reports in the UK," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1317-1330, August.
    14. Andrzej Geise & Magdalena Kuczmarska & Jarosław Pawlowski, 2021. "Corporate Failure Prediction of Construction Companies in Poland: Evidence from Logit Model," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 99-116.
    15. Jennifer C. Ireland, 2003. "An Empirical Investigation of Determinants of Audit Reports in the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(7‐8), pages 975-1016, September.
    16. Velia Gabriella Cenciarelli & Giulio Greco & Marco Allegrini, 2018. "External audit and bankruptcy prediction," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 22(4), pages 863-890, December.
    17. Desai, Vikram & Bucaro, Anthony C. & Kim, Joung W. & Srivastava, Rajendra & Desai, Renu, 2023. "Toward a better expert system for auditor going concern opinions using Bayesian network inflation factors," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    18. Geiger, Marshall A. & Basioudis, Ilias G. & DeLange, Paul, 2022. "The effect of non-audit fees and industry specialization on the prevalence and accuracy of auditor’s going-concern reporting decisions," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 47(C).
    19. Lennox, Clive, 2000. "Do companies successfully engage in opinion-shopping? Evidence from the UK," Journal of Accounting and Economics, Elsevier, vol. 29(3), pages 321-337, June.
    20. Ahmed Anis, 2014. "Auditors' Perceptions Of Audit Firm Rotation Impact On Audit Quality In Egypt," Accounting & Taxation, The Institute for Business and Finance Research, vol. 6(1), pages 105-120.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jbfnac:v:26:y:1999:i:5-6:p:757-778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0306-686X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.