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Comprehensive red flag model for accounting fraud detection using qualitative and quantitative variables

In: Research Handbook on Financial Accounting

Author

Listed:
  • Pilar Lloret-Millán
  • Núria Arimany-Serrat
  • Oriol Amat

Abstract

Accounting deceptions have very negative consequences for a large number of economic agents and for the credibility of the system. For this reason, it is important to strengthen preventive measures to avoid the occurrence of deception and to detect it before it is too late. The objective of this chapter is to propose a comprehensive model of warning signals based on qualitative and quantitative variables that have been identified in international academic research on this subject. The list of red flags that is proposed can help to anticipate in advance the potential deception or the one that has already been committed. The comprehensive model includes 105 warning signs referring to issues such as the company’s characteristics, particular moments in which frauds can be committed, people’s profiles and performance, corporate governance, control systems, incentive systems, objectives, financial and accounting practices, results and accounting data, among others. It is a proposal that may be useful for auditors, analysts and supervisory bodies.

Suggested Citation

  • Pilar Lloret-Millán & Núria Arimany-Serrat & Oriol Amat, 2024. "Comprehensive red flag model for accounting fraud detection using qualitative and quantitative variables," Chapters, in: Luz Parrondo & Oriol Amat (ed.), Research Handbook on Financial Accounting, chapter 5, pages 87-104, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:21437_5
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    File URL: https://www.elgaronline.com/doi/10.4337/9781803920597.00012
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