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

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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.

Tytuł
Does the bankrupt cheat? : impact of accounting manipulations on the effectiveness of a bankruptcy prediction
Twórca
Mućko Przemysław ORCID 0000-0002-8972-1095
Słowa kluczowe
bankruptcy prediction; fraud detection; financial statement fraud; Benford's law
Słowa kluczowe
predykcja bankructwa; detekcja manipulacji księgowych; sprawozdawczość finansowa; prawo Benforda
Współtwórca
Adamczyk Adam ORCID 0000-0002-0491-5502
Data
2023
Typ zasobu
artykuł
Identyfikator zasobu
DOI 10.1371/journal.pone.0280384
Źródło
PLoS ONE, 2023, 18 (1), [br. s.], 0280384
Język
angielski
Prawa autorskie
CC BY CC BY
Dyscyplina naukowa
Ekonomia i finanse; Dziedzina nauk społecznych
Kategorie
Publikacje pracowników US
Data udostępnienia9 mar 2023, 09:14:03
Data mod.9 mar 2023, 09:14:03
DostępPubliczny
Aktywnych wyświetleń0