PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2023 | 16 | nr 4 | 347--363
Tytuł artykułu

Investigation of Accounting Manipulation Using the Beneish Model: Hungarian Case

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The study examined the manipulation level of Hungarian corporate financial statements using Beneish's M-score model with eight variables between 2017 and 2021. The research also investigated whether the financial statement manipulations depend on the type of sector, company size and age, and region. The research sample was comprised of 32,024 financial statements each year. Statistical tests were used to compare the M-score values of several groups. The proportion of companies with possibly manipulated financial statements varied between 46.43% and 51.67% in the five years. It can be concluded that the manipulation of Hungarian companies' reports is very high. The analysis showed that the ratios of unlikely manipulated (UM) and likely manipulated (LM) reports were improved at size category 1-4, and size category five significantly improved. The comparison by regions revealed that the UM/LM indicator is lower in more developed regions than in less developed ones. The results draw the attention of government decision-makers to pay more attention to checking financial statements. In addition, it shows to the companies' stakeholders that the reliability of the financial statements must also be considered during their decision preparations and risk assessment. (original abstract)
Rocznik
Tom
16
Numer
Strony
347--363
Opis fizyczny
Twórcy
  • University of Debrecen, Debrecen, Hungary
  • Rzeszow University of Technology, Poland
  • University of Debrecen, Debrecen, Hungary
Bibliografia
  • Anning, A. A. and Adusei, M. (2022). An analysis of financial statement manipulation among listed manufacturing and trading firms in Ghana. Journal of African Business, 23(1), 165-179. https://doi.org/10.1080/15228916.2020.1826856
  • Association of Certified Fraud Examiners (ACFE) (2020). Report to the nations, Global Study on occupational fraud and abuse. Retrieved July 25, 2023, from https://legacy.acfe.com/report-to-the-nations/2020/
  • Belás, J., Bilan, Y., Demjan, V., & Sipko, J. (2015). Entrepreneurship in SME segment: case study from the Czech Republic and Slovakia. Amfiteatru Economic Journal, 17(38), 308-326.
  • Beneish, M.D. (1999). The Detection of Earnings Manipulation. Financial Analyst Journal, 55(5), 24-36. https://doi.org/10.2469/faj.v55.n5.2296
  • Coates, J.C. (2007). The Goals and Promise of the Sarbanes-Oxley Act. Journal of Economic Perspectives, 21(1), 91-116. https://doi.org/10.1257/jep.21.1.91
  • Cooper, D.J., Dacin, T. and Palmer, D. (2013). Fraud in accounting, organisations and society: Extending the boundaries of research. Accounting, Organisations and Society, 38(6-7), 440-457. https://doi.org/10.1016/j.aos.2013.11.001
  • Durana, P., Blazek, R., Machova, V. and Krasnan, M. (2022). The use of Beneish M-scores to reveal creative accounting: evidence from Slovakia. Equilibrium. Quarterly Journal of Economics and Economic Policy, 17(2), 481-510. http://doi.org/10.24136/eq.2022.017
  • Grove, H. and Basilico, E. (2011). Major financial reporting frauds of the 21st century: Corporate and risk lessons learned. Journal of Forensic and Investigative Accounting, 3(2), 191-226.
  • Gruszczyński, M. (2020). Financial Microeconometrics. A Research Methodology in Corporate Finance and Accounting. Springer Nature Switzerland, 2020. https://doi.org/10.1007/978-3-030-34219-7
  • Halilbegovic, S., Celebic, N., Cero, E., Buljubasic, E. and Mekic, A. (2020). Application of Beneish M-score model on small and medium enterprises in Federation of Bosnia and Herzegovina Abstract: The last two decades have witnessed high-profile corporate accounting scandals. Eastern Journal of European Studies, 11(1), 146-163.
  • Hasan, M.S., Omar, N., Barnes, P. and Handley-Schachler, M. (2017). A cross-country study on manipulations in financial statements of listed companies. Journal of Financial Crime, 24(4), 656-677. http://doi.org/10.1108/jfc-07-2016-0047
  • Ibadin, P.O. and Ehigie, A.H. (2019). Beneish Model, Corporate Governance and Financial Statements Manipulation. Asian Journal of Accounting and Governance, 12, 51-64. http://doi.org/10.17576/AJAG-2019-12-05
  • Irwandi, S. A., & Pamungkas, I. D. (2020). Determinants of financial reporting quality: Evidence from Indonesia. Journal of International Studies, 13(2), 25-33. doi:10.14254/2071-8330.2020/13-2/2
  • Isaković-Kaplan, Š., Demirović, L. and Proho, M. (2021). Benford's Law in Forensic Analysis of Income Statements of Economic Entities in Bosnia and Herzegovina. Croatian Economic Survey, 23(1), 1-61. http://doi.org/10.15179/ces.23.1.2
  • Jones, M.J. (ed.) (2011). Creative Accounting, Fraud and International Accounting Scandals. John Wiley & Sons Ltd.
  • Kamal, M.E.M, Salleh, M.F. and Ahmad, A. (2016). Detecting financial statement fraud by Malaysian public listed companies: The reliability of the Beneish M-score model. Jurnal Pengurusan, 46, 23-32. http://doi.org/10.17576/pengurusan-2016-46-03
  • Kaminski, K.A., Sterling Wetzel, T. and Guan, L. (2004). Can financial ratios detect fraudulent financial reporting? Managerial Auditing Journal, 19(1), 15-28. https://doi.org/10.1108/02686900410509802
  • Karajan, S. and Ullah, S. (2022). Consequence of fraud and overcoming negative market reaction. Global Finance Journal, 52, 1-19. https://doi.org/10.1016/j.gfj.2021.100635
  • Kliestik, T., Blazek, R., & Belas, J. (2022). CEO monitoring and accounting record manipulation: Evidence from Slovak agriculture companies. Economics and Sociology, 15(4), 204-218. doi:10.14254/2071-789X.2022/15-4/10
  • Lizińska, J. and Czapiewski, L. (2019). Towards economic corporate sustainability in reporting: what does earnings management around equity offerings mean for long-term performance?. Sustainability, 10(12), 1-23. https://doi.org/10.3390/su10124349.
  • Mantone, P. S. (ed.) (2013). Using Analytics to Detect Possible Fraud: Tools and Techniques. John Wiley & Sons, Inc.
  • Mishchuk, H., Yurchyk, H., & Bilan, Y. (2018). Shadow incomes and real inequality within the framework of leadership and social change. In Leadership for the Future Sustainable Development of Business and Education (pp. 89-101). Springer, Cham. https://doi.org/10.1007/978-3-319-74216-8_10
  • Mohammed, N.F., Sutainim, N.A., Islam, M.S. and Mohamed, N. (2021). Integrated thinking, earnings manipulation and value creation: Malaysian empirical evidence. Business Process Management Journal, 27(4), 1179-1199. https://doi.org/10.1108/BPMJ-06-2020-0261
  • Nigrini, M.J. (2005). An assessment of the change in the incidence of earnings management around the Enron-Andersen episode. Review of Accounting and Finance, 4(1), 92-110. https://doi.org/10.1108/eb043420
  • Özcan, A. (2018). The Use of Beneish Model in Forensic Accounting: Evidence from Turkey.Journal of Applied Economics and Business Research, 8(1), 57-67.
  • Papanek, G. (2005). A korrupció Magyarországon [Corruption in Hungary]. Polgári Szemle [Civil Review],1(8), 1-7. ISSN 1786-6553
  • Rad, M., Amiri, A., Ranjbar, M. H. and Salar, H. (2021). Predictability of financial statements fraud-risk using Benford's Law. Cogent Economics & Finance, 9(1), 1-27. https://doi.org/10.1080/23322039.2021.1889756
  • Repousis, S. (2016). Using Beneish model to detect corporate financial statement fraud in Greece. Journal of Financial Crime, 23(4), 1063-1073. https://doi.org/10.1108/jfc-11-2014-0055
  • Rezaee, Z. (2005). Causes, consequences, and deterrence of financial statement fraud. Critical Perspectives on Accounting, 16(3), 277-298. https://doi.org/10.1016/S1045-2354(03)00072-8
  • Sabău, A.I., Mare, C. and Safta, I.L. (2021). A Statistical Model of Fraud Risk in Financial Statements. Case for Romania Companies. Risks, 9(6), 116-131. doi:10.3390/risks9060116
  • Shakouri, M.M., Taherabadi, A., Ghanbari, M. and Jamshidinavid, B. (2021). Explaining the Beneish model and providing a comprehensive model of fraudulent financial reporting (FFR). International Journal of Nonlinear Analysis and Applications, 12, 39-48. https://doi.org/10.22075/IJNAA.2021.4793
  • Suri, N.N., Narasimha Murty, M. and Athithan, G. (2019). Outlier Detection: Techniques and Applications. Springer Nature Switzerland. https://doi.org/10.1007/978-3-030-05127-3
  • Sutherland, E. H. (1949). White collar crime. Holt, New York.
  • Svabova, L., Kramarova, K., Chutka, J. and Strakova, L. (2020). Detecting earnings manipulation and fraudulent financial reporting in Slovakia. Oeconomia Copernicana, 11, 485-508. https://doi.org/10.24136/oc.2020.020
  • Tarjo, H.N. (2015). Application of Beneish M-Score Models and Data Mining to Detect Financial Fraud. Procedia - Social and Behavioral Sciences, 211, 924-930. https://doi.org/10.1016/j.sbspro.2015.11.122
  • Timofte, C.C., Socoliuc, M., Grosu, V. and Coca, D-A. (2021). Fiscal And Accounting Fraud Risk Detection Using Beneish Model. A Romanian Case Study. International Journal of Business and Society, 22(1), 296-312. https://doi.org/10.33736/ijbs.3176.2021
  • Transparency International. Corruption Perceptions Index. Retrieved August 17, 2023, from https://www.transparency.org/en/cpi/2022
  • Tutino, M. and Merlo, M. (2019). Accounting fraud: A literature review. Risk Governance and Control: Financial Markets & Institutions, 9(1), 8-25. http://doi.org/10.22495/rgcv9i1p1
  • Wadhwa, V.K., Saini, A.K. and Kumar, S. S. (2020). Financial fraud prediction models: A review of research evidence. International Journal of Scientific and Technology Research, 9(1), 677-680.
  • Wallstreetmojo Team (Dheeraj Vaiday). Accounting Scandals. Retrieved July 25, 2023, from https://www.wallstreetmojo.com/accounting-scandals/
  • Vladu, A.B., Amat, O. and Cuzdriorean, D.D. (2017). Truthfulness in Accounting: How to Discriminate Accounting Manipulators from Non-manipulators. Journal of Business Ethics, 140(4), 633-648. http://doi.org/10.1007/s10551-016-3048-3
  • Zack, G.M. (2013). Financial statement fraud: strategies for detection and investigation. John Wiley & Sons, Inc.
  • Zhang, J., Wang, J. and Kong, D. (2020). Employee treatment and corporate fraud. Economic Modelling, 85, 325-334. https://doi.org/10.1016/j.econmod.2019.10.028
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171680778

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.