Abstract
Aim/purpose – This paper analyzes the role of Benford’s law in the detection of earn- ings management in Poland. Previous research that uses Benford’s law does not split the sample into a fraud and a control group; however, this method is used in logistic regres- sion and data mining analysis. Design/methodology/approach – The sample comprises 126 observations of Polish non-financial companies listed on the Warsaw Stock Exchange for the years 2010-2021. The author uses first, second, and first-two digits analysis as a proxy for earnings man- agement detection. Findings – The results indicate that fraudulent companies have different deviations in the digits than control firms. Accordingly, the statistical test results indicate that control compa- nies have weaker conformity with the Benford distribution than fraudulent companies. Research implications/limitations – The study sample is limited to 126 observations, which is due to the small number of listed firms that received a monetary fine from the Polish Financial Supervision Authority (UKNF Board) for violation of IAS/IFRS princi- ples related to their financial statements during the study period. Originality/value/contribution – The author offers a significant contribution to the accounting literature by proposing the separation of fraudulent and control observations in Benford analysis due to differences in the deviations of digits. Also, analyzing the full sample may lead to the identification of inappropriate areas for further auditor analysis. Keywords: earnings management, digital analysis, Polish companies. JEL Classification: C46, M40, M42.
Publisher
University of Economics in Katowice
Reference48 articles.
1. Alali, F., & Romero, S. (2013). Benford's Law: Analyzing a decade of financial data. Journal of Emerging Technologies in Accounting, 10(1), 1-39. https://doi.org/10.2308/jeta-50749
2. Amiram, D., Bozanic, Z., & Rouen, E. (2015). Financial statement errors: Evidence from the distributional properties of financial statement numbers. Review of Accounting Studies, 20, 1540-1593. https://doi.org/10.1007/s11142-015-9333-z
3. Asllani, A., & Naco, M. (2015). Using Benford's Law for fraud detection in accounting practices. Journal of Social Science Studies, 2(1), 129-143. https://doi.org/10.5296/jsss.v2i1.6395
4. Bader, A. A., & Saleh, M. M. A. (2017). Evidence on the extent of cosmetic earnings and revenues management by Jordanian companies. International Journal of Economics and Financial Issues, 7(3), 20-30. https://www.econjournals.com/index.php/ijefi/article/view/4370/pdf
5. Barney, B. J., & Schulzke, K. S. (2016). Moderating "cry wolf" events with excess MAD in Benford's Law research and practice. Journal of Forensic Accounting Research, 1(1), A66-A90. https://doi.org/10.2308/jfar-51622