Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jan 17;18(1):e0280384.
doi: 10.1371/journal.pone.0280384. eCollection 2023.

Does the bankrupt cheat? Impact of accounting manipulations on the effectiveness of a bankruptcy prediction

Affiliations

Does the bankrupt cheat? Impact of accounting manipulations on the effectiveness of a bankruptcy prediction

Przemysław Mućko et al. PLoS One. .

Abstract

The aim of this article is to answer the question whether the unreliability of the Altman bankruptcy prediction model may be caused by manipulations in financial statements. Our study was carried out on a group of 369 bankrupt Polish companies, with the research period covering the years 2011-2020. In the study, we divided the companies into two groups: those correctly classified by Altman's model as at risk of bankruptcy, and companies for which the model did not indicate a significant bankruptcy risk. Using a logit model, we tested whether the probability of companies being correctly classified as failed depends on the risk of a manipulation of financial statements. We use Benford's law to measure the risk of a manipulation of financial statements. We also repeated our study using panel data models. Our analyses show that the manipulation of financial statements is not the cause of the inaccurate predictions of the Altman model. On the contrary, the results of the analyses indicate that manipulations occurs for companies with a lower Z-score and therefore a worse financial situation. This means that a deterioration in the quality of financial statements can be a signal of an increasing probability of bankruptcy.

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

References

    1. Alaka HA, Oyedele LO, Owolabi HA, Kumar V, Ajayi SO, Akinade OO, et al.. Systematic review of bankruptcy prediction models: Towards a framework for tool selection. Expert Systems with Applications. 2018;94: 164–184. doi: 10.1016/j.eswa.2017.10.040 - DOI
    1. Serrano-Cinca C, Gutiérrez-Nieto B, Bernate-Valbuena M. The use of accounting anomalies indicators to predict business failure. European Management Journal. 2019;37: 353–375. doi: 10.1016/j.emj.2018.10.006 - DOI
    1. Balcaen S, Ooghe H. 35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems. The British Accounting Review. 2006;38: 63–93. doi: 10.1016/j.bar.2005.09.001 - DOI
    1. Habib A. Legal Environment, Accounting Information, Auditing and Information Intermediaries: Survey of the Empirical Literature. Journal of Accounting Literature. 2007;26: 1–75.
    1. Rosner RL. Earnings Manipulation in Failing Firms. Contemporary Accounting Research. 2003;20: 361–408. doi: 10.1506/8EVN-9KRB-3AE4-EE81 - DOI

Publication types