Financial frauds throughout the years – literature review

Authors

DOI:

https://doi.org/10.18559/ref.2024.1.985

Keywords:

financial fraud, financial crimes, negative impact, bank fraud

Abstract

Financial frauds have been a growing problem across the global financial markets. Losses generated by such illegal activities affect both the global economy and individual entities, especially those operating in the financial market. Perpetrators of such frauds seem to always be one step ahead of the law enforcement, regulators as well as private sector entities such as banks and scientists. This review examines publishing actions taken throughout the years. It also shows whether there has been any correlation spotted between the number of papers published in a particular year and the events on the financial markets.  The study involved a systematic literature review to achieve the set goals. Following the final results of the article, it is clear that the issue of financial frauds has been a growing global concern. It is crucial to strengthen the collaboration between the regulators, law enforcement, academic environment and private sector. Cooperation across the sectors should include research on how to prevent and mitigate the consequences of this kind of frauds.

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References

1. Abdallah, A., Maarof, M. A., & Zainal, A. (2016). Fraud detection system: A survey. Journal of Network and Computer Applications, 68, 90–113. https://doi.org/10.3390/app12199637
View in Google Scholar

Ahmed, M., Mahmood, A. N., & Islam, M. R. (2016). A survey of anomaly detection techniques in financial domain. Future Generation Computer Systems, 55, 278–288. https://doi.org/10.1007/978-3-030-70713-2_60
View in Google Scholar

3. Akoglu, L., Tong, H. & Koutra, D. (2015). Graph based anomaly detection and description: A survey. Data Mininng and Knowledge Discovery, 29, 626–688. https://doi.org/10.48550/arXiv.1404.4679
View in Google Scholar

4. Ampudia, M., & Van den Heuvel, S. J. (2022). Monetary policy and bank equity values in a time of low and negative interest rates. Journal of Monetary Economics, 130, 49–67. https://doi.org/10.1016/j.jmoneco.2022.05.006
View in Google Scholar

5. Ashton, P., & Christophers, B. (2015). On arbitration, arbitrage and arbitrariness in financial markets and their governance: unpacking LIBOR and the LIBOR scandal. Economy and Society, 44(2), 188–217. https://doi.org/10.1080/03085147.2015.1013352
View in Google Scholar

6. Awoyemi, J. O., Adetunmbi, A. O., & Oluwadare, S. A. (2017). Credit card fraud detection using machine learning techniques: A comparative analysis. In: 2017 International Conference on Computing Networking and Informatics (ICCNI). Lagos, Nigeria (pp. 1–9). https://doi.org/10.1109/ICCNI.2017.8123782
View in Google Scholar

7. Bremer, C. & Dmitracova, O. (2011, August 8). Analysis: France, Britain AAA-ratings under scrutiny. Reuters. https://www.reuters.com/article/us-crisis-ratings-idUS-TRE7773KG20110808
View in Google Scholar

8. Chen, J. J. (2022). Wirecard. In: J. J. Chen, International Cases of Corporate Governance (pp. 67–82). Palgrave Macmillan. https://doi.org/10.1007/978-981-19-3238-0
View in Google Scholar

9. Chih, H.-L., Shen, C.-H., & Kang, F.-C. (2008). Corporate social responsibility, investor protection, and earnings management: Some international evidence. Journal of Business Ethics, 79(1–2), 179–198. https://doi.org/10.1007/s10551-007-9383-7
View in Google Scholar

10. Cohn, A., Fehr, E., & Marechal, M. A. (2014). Business culture and dishonesty in the banking industry. Nature, 516(729), 86–89. https://doi.org/10.1038/nature13977
View in Google Scholar

11. Czakon, W. (2011). Metodyka systematycznego przeglądu literatury. Przegląd Organizacji, 3(854), 57–61. https://doi.org/10.33141/po.2011.03.13
View in Google Scholar

13. Dobers, P., & Halme, M. (2009). Corporate social responsibility and developing countries. Corporate Social Responsibility and Environmental Management, 16(5), 237–249. http://dx.doi.org/10.1002/csr.212
View in Google Scholar

14. FATF (Financial Action Task Force). (2012, updated in March 2022). International standards on combating money laundering and the financing of the terrorism & proliferation. The FATF Recommendations. Paris. https://www.fatf-gafi.org/content/dam/fatf-gafi/recommendations/FATF%20Recommendations%202012.pdf.coredownload.inline.pdf
View in Google Scholar

Farber, D. B. (2005). Restoring trust after fraud: Does corporate governance matter? The Accounting Review, 80(2), 539–561. http://www.jstor.org/stable/4093068
View in Google Scholar

16. Fich, E. M., & Shivdasani, A. (2007). Financial fraud, director reputation, and shareholder wealth. Journal of Financial Economics, 86(2), 306–336. https://doi.org/10.1016/j.jfineco.2006.05.012
View in Google Scholar

17. Fligstein, N., & Roehrkasse, A. F. (2016). The causes of fraud in the financial crisis of 2007 to 2009: Evidence from the mortgagebacked securities industry. American Sociological Review, 81(4), 617–643. https://doi.org/10.1177/0003122416645594
View in Google Scholar

18. Graham, J. R., & Jiaping Qiu, S. L. (2008). Corporate misreporting and bank loan contracting. Journal of Financial Economics, 89(1), 44–61.
View in Google Scholar

19. Hodson, D. (2017). Eurozone governance in 2016: The Italian banking crisis, fiscal flexibility and Brexit (plus plus plus). Journal of Common Market Studies, 55, 118–132.
View in Google Scholar

20. Hoffmann, A. O. I., & Birnbrich, C. (2012). The impact of fraud prevention on bank-customer relationships: An empirical investigation in retail banking. International Journal of Bank Marketing, 30(5), 390–407. https://doi.org/10.1108/02652321211247435
View in Google Scholar

21. Hohberger, S., Priftis, R., & Vogel, L. (2019). The macroeconomic effects of quantitative easing in the euro area: Evidence from an estimated DSGE model. Journal of Economic Dynamics and Control, 108, 103756. https://doi.org/10.1016/j.jedc.2019.103756
View in Google Scholar

22. Jayech, S. (2016). The contagion channels of July–August-2011 stock market crash: A DAG- copula based approach. European Journal of Operational Research, 249(2), 631–646. https://doi.org/10.1016/j.ejor.2015.08.061
View in Google Scholar

23. Karpoff, J., Lee, D., & Martin, G. (2008a). The cost to firms of cooking the books. Journal of Financial and Quantitative Analysis, 43(3), 581–611. https://doi.org/10.1017/S0022109000004221
View in Google Scholar

24. Karpoff, J., Lee, D., & Martin, G. (2008b). The consequences to managers for financial misrepresentation. Journal of Financial Economics, 88(2), 193–215. https://doi.org/10.1016/j.jfineco.2007.06.003
View in Google Scholar

25. Kirkos, E., Spathis, C., & Manolopoulos, Y. (2007). Data mining techniques for the detection of fraudulent financial statements. Expert Systems with Applications, 32(4), 995–1003.
View in Google Scholar

26. Li, Z. Z., Tao, R., Su, C. W., & Lobonţ, O. R. (2019). Does Bitcoin bubble burst? Quality&Quantity, 53, 91–105. https://doi.org/10.1007/s11135-018-0728-3
View in Google Scholar

27. Lou, Y. I. & Wang, M. L. (2009). Fraud risk factor of the fraud triangle assessing the likelihood of fraudulent financial reporting. Journal of Business & Economics Research, 7(2), 61–78.
View in Google Scholar

Mangala, D., & Soni, L. (2023). A systematic literature review on frauds in banking sector. Journal of Financial Crime, 30(1), 285–301. https://doi.org/10.1108/JFC-12-2021-0263
View in Google Scholar

Matakovic, I. C. (2022). Crypto-assets illicit activities: Theoretical approach with empirical review. International E-Journal of Crimial Sciences, 17, 1–39.
View in Google Scholar

29. Mazur, Z. & Orłowska, A. (2018). Jak zaplanować i przeprowadzić systematyczny przegląd literatury. Polskie Forum Psychologiczne, 23(2), 235–251. https://doi.org/10.14656/ PFP20180202
View in Google Scholar

30. Miglionico, A. (2019). The restructuring of Monte dei Paschi di Siena. A controversial case in the EU bank resolution regime. European Business Law Review, 30(3), 469–485. https://doi.org/10.54648/eulr2019021
View in Google Scholar

31. Monamo, P., Marivate, V., & Twala, B. (2016). Unsupervised learning for robust Bitcoin fraud detection. In: H. S. Venter, M. Loock, M. Coetzee, M. Eloff, & J. H. P. Eloff (Eds.), 2016 Information Security for South Africa (ISSA), IEEE, (pp. 129–134). https://doi.org/10.1109/ISSA.2016.7802939
View in Google Scholar

32. Moro, S., Cortez, P., & Rita, P. (2015). Business intelligence in banking: A literature analy- sis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Systems with Applications, 42(3), 1314–1324. https://doi.org/10.1016/j.eswa.2014.09.024
View in Google Scholar

33. Ngai, E.W.T., Hu, Y., Wong, Y.H., Chen, Y., & Sun, X. (2011). The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems, 50(3), 559–569. https://doi.org/10.1016/j.dss.2010.08.006
View in Google Scholar

34. Passas, N. (2016). Informal payments, crime control and fragile communities. In: C. Beer, E. Gnan, & U. W. Birchler (Eds.), Cash on Trial (pp. 74–82). Société Universitaire Européenne de Recherches Financières (SUERF) – The European Money and Finance Forum.
View in Google Scholar

36. Price, M. & Norris, D. M. (2009). White-collar crime: Corporate and securities and commodities fraud. Analysis and commentary. The Journal of the American Academy of Psychiatry and the Law, 37(4), 538–544.
View in Google Scholar

37. Ravisankar, P., Ravi, V., Raghava Rao, G., & Bose, I. (2011). Detection of financial statement fraud and feature selection using data mining techniques. Decision Support Systems, 50(2), 491–500. https://doi.org/10.1016/j.dss.2010.11.006
View in Google Scholar

38. Reurink, A. (2016). Financial fraud: A literature review. Max Planck Institute for the Study of Societies. https://doi.org/10.1002/9781119565178.ch4
View in Google Scholar

39. Segal, S. Y. (2016). Accounting frauds – review of advanced technologies to detect and prevent frauds. Economics and Business Review, 2(4), 45–64. https://doi.org/10.18559/ebr.2016.4.3
View in Google Scholar

40. Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
View in Google Scholar

41. Stavárek, D. (2013, June). Lessons learned from the 2013 banking crisis in Cyprus. In: European Financial Systems 2013: Proceedings of the 10th International Scientific Conference. 10-11 June 2013, Telč, Czech Republic (pp. 312–319). Masarykova univerzita nakladatelství.
View in Google Scholar

42. Tayan, B. (2019). The Wells Fargo cross-selling scandal. Rock Center for Corporate Governance at Stanford University Closer Look Series: Topics, Issues and Controversies in Corporate Governance No. CGRP-62 Version, 2, Stanford University Graduate School of Business Research Paper, No. 17–1, 1–16. https://ssrn.com/abstract=2879102
View in Google Scholar

43. Tomasic, R. (2011). The financial crisis and the haphazard pursuit of financial crime. Journal of Financial Crime, 18(1), 7–31. https://ssrn.com/abstract=1806493
View in Google Scholar

44. Trozze, A., Kamps, J., Akartuna, E. A., Hetzel, F. J., Kleinberg, B., Davies, T. & Johnson, S. D. (2022). Cryptocurrencies and future financial crimes. Crime Science, 11(1), 1–35. https:// doi.org/10.1186/s40163-021-00163-8
View in Google Scholar

45. Wilkowicz, Ł. (2021, July 19). Banki ubiegły rok skończyły na minusie. Pierwsza taka stra- ta od ponad ćwierć wieku. Dziennik Gazeta Prawna. https://finanse.gazetaprawna.pl/ artykuly/8211331,banki-wyniki-finansowe-analiza-straty-rezerwy-frankowe.html
View in Google Scholar

46. Yeoh, P. (2020). Banks’ vulnerabilities to money laundering activities. Journal of Money Laundering Control, 23(1), 122–135. https://doi.org/10.1108/JMLC-05-2019-0040
View in Google Scholar

Zahra, S. A., Priem, R. L., & Rasheed, A. A. (2005). The antecedents and consequences of top management fraud. Journal of Management, 31(6), 803–828. https://doi.org/10.1177/0149206305279598
View in Google Scholar

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Published

2024-06-03

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How to Cite

Kot, M. (2024). Financial frauds throughout the years – literature review. Research Papers in Economics and Finance, 8(1), 39-60. https://doi.org/10.18559/ref.2024.1.985

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