Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/313459 
Year of Publication: 
2022
Citation: 
[Journal:] Journal of Banking and Financial Economics (JBFE) [ISSN:] 2353-6845 [Issue:] 18 [Year:] 2022 [Pages:] 5-16
Publisher: 
University of Warsaw, Faculty of Management, Warsaw
Abstract: 
This paper investigates irregularities in financial statements by applying the Beneish and Roxas models to Polish firms listed on the Warsaw Stock Exchange from 2015 to 2020. The total sample included 110 observations. The sample comprised companies that had received an adverse or disclaimer opinion by the auditors, but had not been fined by the Polish Financial Supervision Authority (KNF Board). The control firms were selected based on the industry as selected by the standard industrial classification code and on the financial year, with minimizing the difference in the size of total assets. The results indicate that the Roxas model revealed greater accuracy than the Beneish model on the tested sample. The use of logistic regression allowed a modification of the Beneish model to align it with the conditions of the Polish market. The modified Beneish model showed greater accuracy for the tested sample and companies fined by the KNF Board.
Subjects: 
Beneish model
Roxas model
Warsaw Stock Exchange
logistic regression
JEL: 
C46
G00
G30
M40
M42
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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