- Author
- Kot Marek (Wroclaw University of Economics and Business)
- Title
- Financial Frauds throughout the Years - Literature Review
- Source
- Research Papers in Economics and Finance, 2024, vol. 8, nr 1, s. 39-60, wykr., tab., bibliogr. 46 poz.
- Keyword
- Oszustwa finansowe, Rynki finansowe, Międzynarodowe rynki finansowe, Gospodarka
Financial fraud, Financial markets, International financial markets, Economy - Note
- summ.
- 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, reg-ulators as well as private sector entities such as banks and scien-tists. 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. Finally, the article summarises all types of financial frauds which have been identi-fied in the literature and assesses whether the selection of those types is original or had already been identified in the past years. 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 regula-tors, 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.(original abstract)
- Full text
- Show
- Bibliography
- 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.
- Ahmed, M., Mahmood, A. N., & Islam, M. R. (2016). A survey of anomaly detection tech-niques in financial domain. Future Generation Computer Systems, 55, 278-288. https://doi.org/10.1007/978-3-030-70713-2_60.
- Akoglu, L., Tong, H., & Koutra, D. (2015). Graph based anomaly detection and descrip-tion: A survey. Data Mininng and Knowledge Discovery, 29, 626-688. https://doi.org/10.48550/arXiv.1404.4679.
- 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.
- Ashton, P., & Christophers, B. (2015). On arbitration, arbitrage and arbitrariness in finan-cial 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.
- 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.
- 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.
- 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.
- Chih, H.-L., Shen, C.-H., & Kang, F.-C. (2008). Corporate social responsibility, investor pro-tection, and earnings management: Some international evidence. Journal of Business Ethics, 79(1-2), 179-198. https://doi.org/10.1007/s10551-007-9383-7.
- Cohn, A., Fehr, E., & Marechal, M. A. (2014). Business culture and dishonesty in the bank-ing industry. Nature, 516(729), 86-89. https://doi.org/10.1038/nature13977.
- Czakon, W. (2011). Metodyka systematycznego przeglądu literatury. Przegląd Organizacji, 3(854), 57-61. https://doi.org/10.33141/po.2011.03.13.
- 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.
- FATF (Financial Action Task Force). (2012, updated in March 2022). International stand-ards 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.
- 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.
- Fich, E. M., & Shivdasani, A. (2007). Financial fraud, director reputation, and sharehold-er wealth. Journal of Financial Economics, 86(2), 306-336. https://doi.org/10.1016/ j.jfineco.2006.05.012.
- Fligstein, N., & Roehrkasse, A. F. (2016). The causes of fraud in the financial crisis of 2007 to 2009: Evidence from the mortgage-backed securities industry. American Sociological Review, 81(4), 617-643. https://doi.org/10.1177/0003122416645594.
- Graham, J. R., & Jiaping Qiu, S. L. (2008). Corporate misreporting and bank loan contract-ing. Journal of Financial Economics, 89(1), 44-61.
- 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.
- Hoffmann, A. O. I., & Birnbrich, C. (2012). The impact of fraud prevention on bank-cus-tomer relationships: An empirical investigation in retail banking. International Journal of Bank Marketing, 30(5), 390-407. https://doi.org/10.1108/02652321211247435.
- 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.
- 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.
- 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.
- Karpoff, J., Lee, D., & Martin, G. (2008b). The consequences to managers for finan-cial misrepresentation. Journal of Financial Economics, 88(2), 193-215. https://doi.org/10.1016/j.jfineco.2007.06.003.
- 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.
- 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.
- 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.
- 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.
- Matakovic, I. C. (2022). Crypto-assets illicit activities: Theoretical approach with empirical review. International E-Journal of Crimial Sciences, 17, 1-39.
- 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.
- 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.
- 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.), 2016Information Security for South Africa (ISSA), IEEE, (pp. 129-134). https://doi.org/10.1109/ISSA.2016.7802939.
- 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.
- 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 re-view of literature. Decision Support Systems, 50(3), 559-569. https://doi.org/10.1016/j.dss.2010.08.006.
- 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.
- Price, M. & Norris, D. M. (2009). White-collar crime: Corporate and securities and com-modities fraud. Analysis and commentary. The Journal of the American Academy of Psychiatry and the Law, 37(4), 538-544.
- 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.
- Reurink, A. (2016). Financial fraud: A literature review. Max Planck Institute for the Study of Societies. https://doi.org/10.1002/9781119565178.ch4.
- Segal, S. Y. (2016). Accounting frauds - review of advanced technologies to detect and pre-vent frauds. Economics and Business Review, 2(4), 45-64. https://doi.org/10.18559/ebr.2016.4.3.
- 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.
- 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 univer-zita nakladatelství.
- 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.
- 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.
- 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.
- 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.
- 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.
- Zahra, S. A., Priem, R. L., & Rasheed, A. A. (2005). The antecedents and consequenc-es of top management fraud. Journal of Management, 31(6), 803-828. https://doi.org/10.1177/0149206305279598.
- Cited by
- ISSN
- 2543-6430
- Language
- eng
- URI / DOI
- http://dx.doi.org/10.18559/ref.2024.1.985