Data manipulation in the financial statements of companies listed on the Warsaw Stock Exchange – Evaluation of the effectiveness of the Beneish model
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Abstract
The article presents the results of research aimed at verifying the effectiveness of the Beneish model on the Polish capital market. The efficacy of the Beneish model was evaluated for its 8 and 5‑index forms using the ROC curve and the confusion matrix. All three limit values of the model, i.e. –2.22, –1.99, and –1.78, were checked, the exceeding of which is a signal of potential data manipulation in the financial statements of issuers from the Polish stock market. The research covered data from 231 financial statements of companies listed on the WSE Main Market and NewConenct. In the research topic undertaken, the previous analyses using data from the Polish market did not include such a large research sample. The research results showed that in Polish market conditions, the 5‑indicator variant of the Beneish model is characterised by higher efficiency than its 8‑element version. The main practical implication of the study is the verification of one of the most well-known models for detecting data manipulation under financial statements in Polish market conditions.
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References
Beneish M. D. [1999], The Detection of Earnings Manipulation, „Financial Analysts Journal”, vol. 55 (5).
Beneish M. D., Lee C. M. C., Nichols D. C. [2012], Fraud Detection and Expected Returns, Working Paper, Indiana University Bloomington.
Comporek M. [2020], The Effectiveness of the Beneish Model in the Detection of Accounting Violations – The Example of Companies Sanctioned by the Polish Financial Supervision Authority, „Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu”, vol. 64 (10).
Cyert R. M., March J. G. [1963], A Behavioral Theory of the Firm, Englewoog Cliffs, New York.
Dalecka A. [2015], Użyteczność modelu Beneisha w detekcji manipulacji księgowych, „Zeszyty Naukowe Uniwersytetu Szczecińskiego”, nr 854, „Finanse, Rynki Finansowe, Ubezpieczenia”.
Golec A. [2019], Ocena skuteczności modelu Beneisha w wykrywaniu manipulacji w sprawozdaniach finansowych, „Acta Universitatis Lodziensis. Folia Oeconomica”, nr 2 (341).
Goodpaster K. E. [1983], The concept of corporate responsibility, „Journal of Business Ethics”, vol. 2.
Hołda A. [2020], Oszustwa i manipulacje księgowe a rachunkowość kreatywna, Polskie Wydawnictwo Ekonomiczne, Warszawa.
Hołda A. [2021], Oszustwa i manipulacje księgowe a rachunkowość kreatywna, Polskie Wydawnictwo Ekonomiczne, Warszawa.
Hosmer W., Lemeshow S. [2000], Applied Logistic Regression, John Wiley & Sons, Hoboken.
Instytut Rachunkowości i Podatków, https://irip.pl/poprzednie-edycje (data dostępu: 18.04.2023).
Kumari D., Rajnish K. [2015], Comparing Efficiency of Software Fault Prediction Models Developed through Binary and Multinomial Logistic Regression Techniques, w: Mandal J. K., Satapathy S. C., Sanyal M. K., Sarkar P. P., Mukhopadhyay A. (red.), Information Systems Design and Intelligent Applications, Proceedings of Second International Conference India, 1, Springer.
Marinakis P. [2011], An investigation of earnings management and earnings manipulation in the UK (Doctoral dissertation), University of Nottingham.
Rappaport A. [1995], Shareholder Value. Wertsteigerung als Massstab für die Unternehmensführung, Schäffer – Poeschel Verlag, Stuttgart.
Sylwestrzak M. [2022], Application of the Beneish Model on the Warsaw Stock Exchange, „Journal of Banking and Financial Economics”, vol. 2 (18).
Wiszniowski E. [2020], Accuracy of the Beneish Model as Applied to Polish Enterprises Known to Manipulate Financial Reports, w: Soliman Khalid S. (red.), Education Excellence and Innovation Management: A 2025 Vision to Sustain Economic Development during Global Challenges, International Business Information Management Association (IBIMA).
Wykaz kar KNF za lata 2006–2022.
Zestawienie sankcji nałożonych przez Organizatora ASO na emitentów NewConnect, w związku z nieprzestrzeganiem przepisów Regulaminu ASO – stan na 30 września 2022 r., https://newconnect.pl/pub/NEWCONNECT/zastawienie_sankcji/NEWCONNECT_zestawienie_sankcji_092022.pdf (data dostępu: 30.09.2023).