IDEAS home Printed from https://ideas.repec.org/a/mup/actaun/actaun_2018066030747.html
   My bibliography  Save this article

CFEBT Risk Triangle as a Tool for Detecting and Evaluating Risks of Accounting Records: a Case Study

Author

Listed:
  • Zita Drábková

    (Department of Finance and Accounting, Faculty of Economics, University of South Bohemia in České Budějovice, Studentská 13, 370 05 České Budějovice, Czech Republic)

Abstract

The objective of the present contribution is to evaluate the risk of accounting errors and frauds in small companies predominantly operating in agriculture. It is based on an analysis of the CFEBT risk triangle for financial statements reported for the years 2012-2016.The CFEBT risk triangle is applied in form of a case study aimed at risk detection of occurrence of accounting errors and frauds for a selected sample of companies. A detailed analysis of a risk of impact of accounting errors and frauds is illustrated in the case study of an accounting unit chosen from the sample of companies evaluated. Results of the presented case study into the detection and evaluation of the risk based on interconnections between the reported profit (loss) and the generated cash flow during 5 accounting periods confirm the significance of having a complex view for decision-making of users based on reported accounting records and accounting data.Future research into the CFEBT risk triangle focuses on performance of complex analyses for individual types of business activities of small and middle-sized companies in the context of Czech accounting standards and IFRS.

Suggested Citation

  • Zita Drábková, 2018. "CFEBT Risk Triangle as a Tool for Detecting and Evaluating Risks of Accounting Records: a Case Study," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(3), pages 747-754.
  • Handle: RePEc:mup:actaun:actaun_2018066030747
    DOI: 10.11118/actaun201866030747
    as

    Download full text from publisher

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201866030747.html
    Download Restriction: free of charge

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201866030747.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.11118/actaun201866030747?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Grace Mui & Jennifer Mailley, 2015. "A tale of two triangles: comparing the Fraud Triangle with criminology’s Crime Triangle," Accounting Research Journal, Emerald Group Publishing Limited, vol. 28(1), pages 45-58, July.
    2. Zita Drábková, 2015. "Analysis of Possibilities of Detectnig the Manipulation of Financial Statements in Terms of the IFRS and Czech Accounting Standards," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 1859-1866.
    3. Caplan, D, 1999. "Internal controls and the detection of management fraud," Journal of Accounting Research, Wiley Blackwell, vol. 37(1), pages 101-117.
    4. Alexander Schuchter & Michael Levi, 2015. "Beyond the fraud triangle: Swiss and Austrian elite fraudsters," Accounting Forum, Taylor & Francis Journals, vol. 39(3), pages 176-187, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Monica Ramos Montesdeoca & Agustín J. Sánchez Medina & Felix Blázquez Santana, 2019. "Research Topics in Accounting Fraud in the 21st Century: A State of the Art," Sustainability, MDPI, vol. 11(6), pages 1-31, March.
    2. J. Reed Smith & Samuel L. Tiras & Sansakrit S. Vichitlekarn, 2000. "The Interaction between Internal Control Assessment and Substantive Testing in Audits for Fraud," Contemporary Accounting Research, John Wiley & Sons, vol. 17(2), pages 327-356, June.
    3. Xin Xu & Feng Xiong & Zhe An, 2023. "Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE Framework," Journal of Business Ethics, Springer, vol. 186(1), pages 137-158, August.
    4. Appelgren, Leif, 2020. "A survey of models for determining optimal audit strategies," Advances in accounting, Elsevier, vol. 48(C).
    5. Asunur Cezar & Huseyin Cavusoglu & Srinivasan Raghunathan, 2014. "Outsourcing Information Security: Contracting Issues and Security Implications," Management Science, INFORMS, vol. 60(3), pages 638-657, March.
    6. Paul Povel & Rajdeep Singh & Andrew Winton, 2007. "Booms, Busts, and Fraud," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1219-1254.
    7. Georges Dionne & Florence Giuliano & Pierre Picard, 2009. "Optimal Auditing with Scoring: Theory and Application to Insurance Fraud," Management Science, INFORMS, vol. 55(1), pages 58-70, January.
    8. Mark E. Lokanan & Prerna Sharma, 2023. "Two Decades of Accounting Fraud Research: The Missing Meso-Level Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    9. Emmanuel Laffort & Nicolas Dufour, 2021. "Prise en compte de la fraude dans les organisations : comment libérer la parole ?," Post-Print hal-03336041, HAL.
    10. Matthew J. Bloomfield, 2021. "The Asymmetric Effect of Reporting Flexibility on Priced Risk," Journal of Accounting Research, Wiley Blackwell, vol. 59(3), pages 867-910, June.
    11. Stéphane Goutte & Thomas Péran & Thomas Porcher, 2021. "Corruption and governance in Central Africa: an analysis of public and regional drivers of corruption," Working Papers halshs-03169700, HAL.
    12. Ch. Spathis & M. Doumpos & C. Zopounidis, 2002. "Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques," European Accounting Review, Taylor & Francis Journals, vol. 11(3), pages 509-535.
    13. Deepa Mangala & Pooja Kumari, 2017. "Auditors’ Perceptions of the Effectiveness of Fraud Prevention and Detection Methods," Indian Journal of Corporate Governance, , vol. 10(2), pages 118-142, December.
    14. Abdulkadir Abdulrashid Rafindadi & Zakariyah Aliyu Olanrewaju, 2019. "The Impact of Internal Control System on the Financial Accountability of Non-Governmental organisations in Nigeria: Evidence from the Structural Equation Modelling," International Review of Management and Marketing, Econjournals, vol. 9(3), pages 49-63.
    15. Florian Hoos & Grégoire Bollmann, 2012. "Is accountability a double-edged sword? Experimental evidence on the effectiveness of internal controls to prevent fraud," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 23(2), pages 115-132, November.
    16. Goutte, Stéphane & Péran, Thomas & Porcher, Thomas, 2022. "Corruption, economy and governance in Central Africa: An analysis of public and regional drivers of corruption," Finance Research Letters, Elsevier, vol. 44(C).
    17. Hengky Latan & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour, 2019. "‘Whistleblowing Triangle’: Framework and Empirical Evidence," Journal of Business Ethics, Springer, vol. 160(1), pages 189-204, November.
    18. Desai, Naman & Gupta, Vishal, 2015. "Selective Perceptions and Group Brainstorming: An Investigation of Auditors’ Fraud Risk Assessment," IIMA Working Papers WP2015-03-14, Indian Institute of Management Ahmedabad, Research and Publication Department.
    19. Philip Law, 2011. "Corporate governance and no fraud occurrence in organizations: Hong Kong evidence," Managerial Auditing Journal, Emerald Group Publishing, vol. 26(6), pages 501-518, June.
    20. Ikseon Suh & John T. Sweeney & Kristina Linke & Joseph M. Wall, 2020. "Boiling the Frog Slowly: The Immersion of C-Suite Financial Executives into Fraud," Journal of Business Ethics, Springer, vol. 162(3), pages 645-673, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mup:actaun:actaun_2018066030747. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://mendelu.cz/en/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.