IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxy2017i3bp22-33.html
   My bibliography  Save this article

Use of Regression Models when Performing Fraud Risk Assessment Procedures in the Audit Process

Author

Listed:
  • Andrey Vladimirovich Bakhteev
  • Sergey Valentinovich Arzhenovskiy
  • Natalya Nikolayevna Khakhonova
  • Yelena Vyacheslavovna Kuznetsova

Abstract

The article provides an overview of current research in the use of regression models when performing assessment procedures of material misstatement risks due to fraud in the financial statement audit. The authors were reviewing regression models predicting deliberate distortion of financial statements, developed by M. Beneish and J. Jones. In addition, they consider the later modifications to these models, applicable in the course of the audit process to estimate the material misstatement risk on the basis of meso-economic, operational, scaling, and other factors affecting the operations of reporting accountants.The specific features, advantages, disadvantages and the use of different types of regression models in the audit process are described. The criteria for comparison are formulated, and the comparative analysis of adapting the best-known features of regression models to the challenges of fraud risk assessment for financial statements in the audit process is carried out. The conclusions about the possibilities of use and a range of different types of regression models when initiating the fraud risk assessment procedures to the financial statements in the audit process are formulated. The limitations, inherent of such models are explained.

Suggested Citation

  • Andrey Vladimirovich Bakhteev & Sergey Valentinovich Arzhenovskiy & Natalya Nikolayevna Khakhonova & Yelena Vyacheslavovna Kuznetsova, 2017. "Use of Regression Models when Performing Fraud Risk Assessment Procedures in the Audit Process," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 22-33.
    • Handle: RePEc:ers:journl:v:xx:y:2017:i:3b:p:22-33
    as

    Download full text from publisher

    File URL: http://ersj.eu/dmdocuments/2017-xx-3-b-3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ittner, CD & Larcker, DF, 1998. "Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 1-35.
    2. Eleftherios Thalassinos & Erginbay Ugurlu & Yusuf Muratoglu, 2012. "Income Inequality and Inflation in the EU," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 127-140.
    3. Tulus Suryanto, 2016. "Audit Delay and Its Implication for Fraudulent Financial Reporting: A Study of Companies Listed in the Indonesian Stock Exchange," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 18-31.
    4. Jones, Jj, 1991. "Earnings Management During Import Relief Investigations," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 193-228.
    5. N.G. Vovchenko & M.G. Holina & A.S. Orobinskiy & R.A. Sichev, 2017. "Ensuring Financial Stability of Companies on the Basis of International Experience in Construction of Risks Maps, Internal Control and Audit," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 350-368.
    6. Patricia M. Dechow & Weili Ge & Chad R. Larson & Richard G. Sloan, 2011. "Predicting Material Accounting Misstatements," Contemporary Accounting Research, John Wiley & Sons, vol. 28(1), pages 17-82, March.
    7. Nikolaos G. Theriou, 2015. "Strategic Management Process and the Importance of Structured Formality, Financial and Non-Financial Information," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 3-28.
    8. Florin Teodor Boldeanu & Ileana Tache, 2016. "The Financial System of the EU and the Capital Markets Union," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 59-70.
    9. Eleftherios I. Thalassinos & Mike P. Hanias & Panayiotis G. Curtis & John E. Thalassinos, 2013. "Forecasting Financial Indices: The Baltic Dry Indices," International Journal of Maritime, Trade & Economic Issues (IJMTEI), International Journal of Maritime, Trade & Economic Issues (IJMTEI), vol. 0(1), pages 109-130.
    10. Joseph F. Brazel & Keith L. Jones & Mark F. Zimbelman, 2009. "Using Nonfinancial Measures to Assess Fraud Risk," Journal of Accounting Research, Wiley Blackwell, vol. 47(5), pages 1135-1166, December.
    11. Eleftherios J. Thalassinos & Evagelos D. Politis, 2012. "The Evaluation of the USD Currency and the Oil Prices: A Var Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 137-146.
    12. Beneish, Messod D., 1997. "Detecting GAAP violation: implications for assessing earnings management among firms with extreme financial performance," Journal of Accounting and Public Policy, Elsevier, vol. 16(3), pages 271-309.
    13. M. Hanias & P. Curtis & E. Thalassinos, 2012. "Time Series Prediction with Neural Networks for the Athens Stock Exchange Indicator," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 23-32.
    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. Dan Amiram & Zahn Bozanic & James D. Cox & Quentin Dupont & Jonathan M. Karpoff & Richard Sloan, 2018. "Financial reporting fraud and other forms of misconduct: a multidisciplinary review of the literature," Review of Accounting Studies, Springer, vol. 23(2), pages 732-783, June.
    2. Tahir, Muhammad & Ibrahim, Salma & Nurullah, Mohamed, 2019. "Getting compensation right - The choice of performance measures in CEO bonus contracts and earnings management," The British Accounting Review, Elsevier, vol. 51(2), pages 148-169.
    3. Wei, Lang & Zhang, Yiling, 2023. "Nonfinancial indicators in identifying stock price crash risk," Finance Research Letters, Elsevier, vol. 52(C).
    4. Campa, Domenico & Camacho-Miñano, María-del-Mar, 2015. "The impact of SME’s pre-bankruptcy financial distress on earnings management tools," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 222-234.
    5. Nikolay Tikhomirov & Tatiana Tikhomirova & Eldar Khamitov & Vladimir Ponomarev, 2017. "Models of Assessment of the Influnce of Insurance Assets Securitization on Stability of Mutual Insurance Societies," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 321-333.
    6. Mingzi Song & Naoto Oshiro & Akinobu Shuto, 2016. "Predicting Accounting Fraud: Evidence from Japan," The Japanese Accounting Review, Research Institute for Economics & Business Administration, Kobe University, vol. 6, pages 17-63, December.
    7. Ramona Rupeika-Apoga & Irina Solovjova, 2017. "Access to Finance for Latvian SMEs," European Research Studies Journal, European Research Studies Journal, vol. 0(3A), pages 57-68.
    8. T.L. Bezrukova & Yu.N. Stepanova & I.I. Shanin & Yu.V. Busarina & S.Yu. Nesterov, 2017. "Aspect-Oriented, Key-Index Based Regional Business Entities' Evaluation Framework," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 183-192.
    9. Hoberg, Gerard & Lewis, Craig, 2017. "Do fraudulent firms produce abnormal disclosure?," Journal of Corporate Finance, Elsevier, vol. 43(C), pages 58-85.
    10. Ioannis Gasteratos & Michael Karamalis & Andreas Koutoupis, 2016. "Shadow Economy Worsens Income distribution," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 80-92.
    11. Faris Nasif Al Shubiri & Syed Ahsan Jamil, 2017. "Assessing the Determinants of Interest Rate Spread of Commercial Banks in Oman: An Empirical Investigation," European Research Studies Journal, European Research Studies Journal, vol. 0(2A), pages 90-108.
    12. Nguyet T. M. Nguyen & Abdullah Iqbal & Radha K. Shiwakoti, 2022. "The context of earnings management and its ability to predict future stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 59(1), pages 123-169, July.
    13. Abdullah Albizri & Deniz Appelbaum & Nicholas Rizzotto, 2019. "Evaluation of financial statements fraud detection research: a multi-disciplinary analysis," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(4), pages 206-241, December.
    14. James S. Ang & Zhiqian Jiang & Chaopeng Wu, 2016. "Good Apples, Bad Apples: Sorting Among Chinese Companies Traded in the U.S," Journal of Business Ethics, Springer, vol. 134(4), pages 611-629, April.
    15. Anatoliy Ivanovich Belousov & Galina Vasilevna Mikhailova & Fatima Magamedovna Uzdenova & Viktoria Georgievna Blokhina, 2017. "Accounting Engineering Tools in the Research of Economic Costs and Benefits," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 13-21.
    16. Minh, Man Duc Binh & Van Cuong, Dinh & Linh, Nguyen Thi Linh & Ho, Manh-Toan, 2019. "Xây dựng mô hình phát hiện gian lận trong báo cáo tài chính của các công ty tại Việt Nam," OSF Preprints kecmv, Center for Open Science.
    17. Iselin, Michael & Johnson, Bret & Ott, Jacob & Raleigh, Jacob, 2022. "Protecting wall street or main street: SEC monitoring and enforcement of retail-owned firms," LSE Research Online Documents on Economics 117743, London School of Economics and Political Science, LSE Library.
    18. Dr. Md. Izhar Ahmad & Tariq Masood, 2015. "Macroeconomic Implications of Capital Inflows in India," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 53-71.
    19. Winston Pontoh, 2017. "The Capital Structure: Is Debt just a Policy or Requerement?," European Research Studies Journal, European Research Studies Journal, vol. 0(2A), pages 128-139.
    20. Song Mingzi & Naoto Oshiro & Akinobu Shuto, 2016. "Predicting accounting fraud: Evidence from Japan (Accepted by The Japanese Accounting Review)," CARF F-Series CARF-F-402, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    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:ers:journl:v:xx:y:2017:i:3b:p:22-33. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.