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DETECTING FRAUD IN FINANCIAL SECTOR– ONGOING CHALLENGES FOR INTERNAL AUDIT
Abstract
The legislation of European Union member states is not harmonized in terms of defining, evaluating and addressing fraud, lacking a unique, generally accepted definition. The paper has several aims. First, it has been provided a comprehensive definition of fraud as an unlawful act, by gathering the views of several audit, accountant and fraud examiners professional bodies. Then it has been presented the fraud triangle, the recurrent patterns of fraud committing and the profile of the fraudster by investigating past fraud episodes within the financial industry and the economic field, in general. Further, the paper synthesizes the three main fraud typologies which are widely accepted among practitioners and professional bodies and explains the characteristics of financial statements fraud and respectively of the use of internal IT system for committing frauds. As digital technology is increasingly embedded into traditional financial products and services features, fraud-related risks are imposing more challenges for regulators, financial institutionsВ’ boards and internal audit departments. The paper emphasizes the critical role to be fulfilled by internal audit departments and stresses the need for maintaining a high-quality human resource with updated knowledge and skills related to financial industry specificity and fraud risk detection.
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References12
Institute of Internal Auditors, Practice Guide: Internal auditing and fraud, December 2009.
Institute of Internal Auditors, The American Institute of Certified Public Accountants, Association of Certified Fraud Examiners, Managing the Business Risk of Fraud: A Practical Guide, 2008.
Center for Audit Quality, Deterring and Detecting Financial Reporting Fraud—A Platform for Action, October 2010.
Gitahi, R. Internal Audit Investigation Techniques, ICPAK - INSTITUTE OF CERTIFIED PUBLIC ACCOUNTANTS OF Kenya, 2015.
KPMG. Global profiles of the fraudster: technology enables and weak controls fuel the fraud, May 2016.
Jing L., D. Smith, X. Liu. Female CFOs and accounting fraud: Evidence from China, Pacific-Basin Finance Journal no. 53, pp. 449-463, 2019.
Kirkos, E., Spathis, C., Manolopoulos, Y. Data mining techniques for the detection of fraudulent financial statements. Expert Syst. Appl. 32 (4), pp. 995–1003, 2007.
Ravisankar, P., Ravi, V., Rao, G.R., Bose, I. Detection of financial statement fraud and feature selection using data mining techniques. Decis. Support. Syst. 50(2), pp. 491–500, 2011.
Dutta, I., Dutta, S., Raahemi, B. Detecting financial restatements using data mining techniques. Expert Syst. Appl. 90, pp. 374–393, 2017.
Gray, G.L., Debreceny, R.S. A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits. Int. J. Account. Inf.Syst. 15 (4), pp. 357–380, 2014.
Institute of Internal Auditors. Fraud prevention and detection in an automated world, practice guide, 2009.
Matthias Lang, Achim Wambach, The fog of fraud–Mitigating fraud by strategic ambiguity, Games and Economic Behavior 81, pp. 255-275, 2013.
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