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Exploring the linkages between anti-money laundering guidelines and earnings manipulation techniques

Author

Listed:
  • Ruba Subhi Hamed

    (Alfaisal University)

  • Wasim Khalil Al-Shattarat

    (Gulf University for Science and Technology)

  • Basiem Khalil Al-Shattarat

    (Prince Sultan University)

  • Mariem Mejri

    (Prince Sultan University)

Abstract

The objective of this research is to investigate how adherence to anti-money laundering (AML) regulations affects the utilisation of accrual-based earnings management (AEM) and real earnings management (REM) strategies in the Middle East and North Africa (MENA) region. This study uses the System Generalized Method of Moment method to control for endogeneity due to omitted variables of 430 firms (4300 firm-year observations) from 2012 to 2021. The findings indicate that adhering to AML regulations results in a decrease in both aggressive AEM and REM. Our findings suggest a potential relationship between AML regulations and reduced earnings management, which warrants further investigation. By emphasising the importance of identifying accounting red flags and promoting greater transparency and accountability, our study supports a more radical perspective on the fight against corruption and money laundering.

Suggested Citation

  • Ruba Subhi Hamed & Wasim Khalil Al-Shattarat & Basiem Khalil Al-Shattarat & Mariem Mejri, 2024. "Exploring the linkages between anti-money laundering guidelines and earnings manipulation techniques," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04114-x
    DOI: 10.1057/s41599-024-04114-x
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    1. Theodore E. Christensen & Adrienna Huffman & Melissa F. Lewis‐Western & Rachel Scott, 2022. "Accruals earnings management proxies: Prudent business decisions or earnings manipulation?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(3-4), pages 536-587, March.
    2. Isaac Ofoeda, 2022. "Anti-money laundering regulations and financial inclusion: empirical evidence across the globe," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 30(5), pages 646-664, May.
    3. Loayza, Norman & Villa, Edgar & Misas, Martha, 2019. "Illicit activity and money laundering from an economic growth perspective: A model and an application to Colombia," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 442-487.
    4. Mihret, Dessalegn Getie, 2014. "How can we explain internal auditing? The inadequacy of agency theory and a labor process alternative," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 771-782.
    5. Keith L. Jones & Gopal V. Krishnan & Kevin D. Melendrez, 2008. "Do Models of Discretionary Accruals Detect Actual Cases of Fraudulent and Restated Earnings? An Empirical Analysis," Contemporary Accounting Research, John Wiley & Sons, vol. 25(2), pages 499-531, June.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    7. Compin, Frédéric, 2008. "The role of accounting in money laundering and money dirtying," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 19(5), pages 591-602.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Ball, Ray & Shivakumar, Lakshmanan, 2005. "Earnings quality in UK private firms: comparative loss recognition timeliness," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 83-128, February.
    10. Chaney, Paul K. & Faccio, Mara & Parsley, David, 2011. "The quality of accounting information in politically connected firms," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 58-76.
    11. Dechow, Patricia & Ge, Weili & Schrand, Catherine, 2010. "Understanding earnings quality: A review of the proxies, their determinants and their consequences," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 344-401, December.
    12. Neu, Dean & Everett, Jeff & Rahaman, Abu Shiraz & Martinez, Daniel, 2013. "Accounting and networks of corruption," Accounting, Organizations and Society, Elsevier, vol. 38(6), pages 505-524.
    13. Mitchell, A. & Sikka, P. & Willmott, H., 1998. "Sweeping it under the carpet: The role of accountancy firms in moneylaundering," Accounting, Organizations and Society, Elsevier, vol. 23(5-6), pages 589-607.
    14. Mark E. Lokanan, 2024. "Predicting money laundering sanctions using machine learning algorithms and artificial neural networks," Applied Economics Letters, Taylor & Francis Journals, vol. 31(12), pages 1112-1118, July.
    15. Zhang, Jintao & Su, Taoyong & Meng, Li, 2024. "Corporate earnings management strategy under environmental regulation: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 154-166.
    16. Kothari, S.P. & Leone, Andrew J. & Wasley, Charles E., 2005. "Performance matched discretionary accrual measures," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 163-197, February.
    17. Cohen, Daniel A. & Zarowin, Paul, 2010. "Accrual-based and real earnings management activities around seasoned equity offerings," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 2-19, May.
    18. Wright, Peter & Mukherji, Ananda & Kroll, Mark J., 2001. "A reexamination of agency theory assumptions: extensions and extrapolations," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 30(5), pages 413-429.
    19. Roychowdhury, Sugata, 2006. "Earnings management through real activities manipulation," Journal of Accounting and Economics, Elsevier, vol. 42(3), pages 335-370, December.
    20. Mohammed Ahmad Naheem, 2020. "The agency dilemma in anti-money laundering regulation," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 23(1), pages 26-37, January.
    21. Beneish, Messod D., 1997. "Detecting GAAP violation: implications for assessing earnings management among firms with extreme financial performance," Journal of Accounting and Public Policy, Elsevier, vol. 16(3), pages 271-309.
    22. Diego Ravenda & Maika M. Valencia-Silva & Josep Maria Argiles-Bosch & Josep Garcia-Blandon, 2018. "Accrual management as an indication of money laundering through legally registered Mafia firms in Italy," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 31(1), pages 286-317, January.
    23. repec:eme:aaaj00:aaaj-12-2015-2329 is not listed on IDEAS
    24. Armstrong, Christopher S. & Larcker, David F. & Ormazabal, Gaizka & Taylor, Daniel J., 2013. "The relation between equity incentives and misreporting: The role of risk-taking incentives," Journal of Financial Economics, Elsevier, vol. 109(2), pages 327-350.
    25. Raffaella Barone & Donato Masciandaro & Friedrich Schneider, 2022. "Corruption and money laundering: You scratch my back, i’ll scratch yours," Metroeconomica, Wiley Blackwell, vol. 73(1), pages 318-342, February.
    26. Davis, Frederick & Khadivar, Hamed, 2024. "Accrual and real earnings management by rumored takeover targets," International Review of Financial Analysis, Elsevier, vol. 92(C).
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