IDEAS home Printed from https://ideas.repec.org/p/upf/upfgen/1738.html
   My bibliography  Save this paper

Detecting accounting fraud using quantitative techniques

Author

Listed:

Abstract

This study deals with the detection of accounting fraud from an economic perspective. It is a topic of great relevance since the accounting information of a company is crucial in the decision-making process of different stakeholders. However, very often accounting frauds occurs and have very negative consequences. This motivates the interest in detecting fraud as soon as possible. In this article, we propose the use of a set of accounting fraud detection techniques and they are applied to the case of Ricoh India, a company that had an accounting fraud that caused a great scandal in 2015. The main contribution of the study is the empirical demonstration that it is possible to detect accounting fraud several years before the deception is disclosed to all interested parties. Early detection of the fraud can be of great use to managers, analysts, investors, and supervisors in their desire to avoid the negative consequences of accounting fraud.

Suggested Citation

  • Nirali Singh & Oriol Amat, 2020. "Detecting accounting fraud using quantitative techniques," Economics Working Papers 1738, Department of Economics and Business, Universitat Pompeu Fabra.
    • Handle: RePEc:upf:upfgen:1738
    as

    Download full text from publisher

    File URL: https://econ-papers.upf.edu/papers/1738.pdf
    File Function: Whole Paper
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alina Beattrice Vladu & Oriol Amat & Dan Dacian Cuzdriorean, 2014. "Truthfulness in accounting: How to discriminate accounting manipulators from non-manipulators," Economics Working Papers 1434, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Catherine Gowthorpe & Oriol Amat, 2004. "Creative accounting: Some ethical issues of macro- and micro-manipulation," Economics Working Papers 748, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Philip Gharghori & Howard Chan & Robert Faff, 2006. "Investigating the Performance of Alternative Default-Risk Models: Option-Based Versus Accounting-Based Approaches," Australian Journal of Management, Australian School of Business, vol. 31(2), pages 207-234, December.
    4. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    5. Lev, B & Thiagarajan, Sr, 1993. "Fundamental Information Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 31(2), pages 190-215.
    6. Henselmann, Klaus & Scherr, Elisabeth & Ditter, Dominik, 2012. "Applying Benford's Law to individual financial reports: An empirical investigation on the basis of SEC XBRL filings," Working Papers in Accounting Valuation Auditing 2012-1, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Accounting and Auditing.
    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. Richardson, Grant & Taylor, Grantley & Lanis, Roman, 2015. "The impact of financial distress on corporate tax avoidance spanning the global financial crisis: Evidence from Australia," Economic Modelling, Elsevier, vol. 44(C), pages 44-53.
    2. Maria H. Kim & Graham Partington, 2015. "Dynamic forecasts of financial distress of Australian firms," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 135-160, February.
    3. Suparatana Tanthanongsakkun & Sirimon Treepongkaruna, 2008. "Explaining Credit Ratings of Australian Companies—An Application of the Merton Model," Australian Journal of Management, Australian School of Business, vol. 33(2), pages 261-275, December.
    4. Stina Skogsvik, 2008. "Financial Statement Information, the Prediction of Book Return on Owners' Equity and Market Efficiency: The Swedish Case," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 795-817.
    5. Abinzano, Isabel & Gonzalez-Urteaga, Ana & Muga, Luis & Sanchez, Santiago, 2020. "Performance of default-risk measures: the sample matters," Journal of Banking & Finance, Elsevier, vol. 120(C).
    6. Ruey S. Tsay & Yi-Mien Lin & Hsiao-Wen Wang, 2009. "Residual income, non-earnings information, and information content," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 487-511.
    7. Bok Baik & Kyonghee Kim & Richard Morton & Yongoh Roh, 2016. "Analysts’ pre-tax income forecasts and the tax expense anomaly," Review of Accounting Studies, Springer, vol. 21(2), pages 559-595, June.
    8. Abinzano, Isabel & Gonzalez-Urteaga, Ana & Muga, Luis & Sanchez, Santiago, 2022. "Lagged accuracy in credit-risk measures," Finance Research Letters, Elsevier, vol. 47(PA).
    9. Iny Hwang & Taejin Jung & Woo‐Jong Lee & Daniel G. Yang, 2021. "Asymmetric Inventory Management and the Direction of Sales Changes†," Contemporary Accounting Research, John Wiley & Sons, vol. 38(1), pages 676-706, March.
    10. Isabel Abinzano & Pilar Corredor & Beatriz Martinez, 2021. "Does family ownership always reduce default risk?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4025-4060, September.
    11. Stina Skogsvik, 2008. "Financial Statement Information, the Prediction of Book Return on Owners' Equity and Market Efficiency: The Swedish Case," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 795-817, September.
    12. Gregory D. Kane & Frederick M. Richardson & Patricia Graybeal, 1996. "Recession†Induced Stress and the Prediction of Corporate Failure," Contemporary Accounting Research, John Wiley & Sons, vol. 13(2), pages 631-650, September.
    13. Keating, Elizabeth K. & Fischer, Mary & Gordon, Teresa P. & Greenlee, Janet, 2005. "Assessing Financial Vulnerability in the Nonprofit Sector," Working Paper Series rwp05-002, Harvard University, John F. Kennedy School of Government.
    14. Yasser Alhenawi & Martha Stilwell, 2017. "Value creation and the probability of success in merger and acquisition transactions," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1041-1085, November.
    15. Panayiotis Curtis & Jonh Thalassinos, 2005. "Equity fund raising and “creative” accounting practices: Indications from Athens Stock Exchange for the 1999-2000 period," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 127-127.
    16. Arthur Kraft & Andrew J. Leone & Charles E. Wasley, 2007. "Regression‐Based Tests of the Market Pricing of Accounting Numbers: The Mishkin Test and Ordinary Least Squares," Journal of Accounting Research, Wiley Blackwell, vol. 45(5), pages 1081-1114, December.
    17. Chia-Ling Chao & Shwu-Min Horng, 2013. "Asset write-offs discretion and accruals management in Taiwan: the role of corporate governance," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 41-74, January.
    18. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    19. Ballester, Laura & González-Urteaga, Ana & Martínez, Beatriz, 2020. "The role of internal corporate governance mechanisms on default risk: A systematic review for different institutional settings," Research in International Business and Finance, Elsevier, vol. 54(C).
    20. Alina Beattrice Vladu & Oriol Amat & Dan Dacian Cuzdriorean, 2014. "Truthfulness in accounting: How to discriminate accounting manipulators from non-manipulators," Economics Working Papers 1434, Department of Economics and Business, Universitat Pompeu Fabra.

    More about this item

    Keywords

    Accounts manipulation; accounting fraud; balance Sheet; Income statement; ratios; Z score;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:upf:upfgen:1738. 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: the person in charge (email available below). General contact details of provider: http://www.econ.upf.edu/ .

    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.