IDEAS home Printed from https://ideas.repec.org/a/ahd/journl/v2y2021i5p3-14.html
   My bibliography  Save this article

Detecting the Elements for Cosmeticizing the Financial Statements Using Analytical Models

Author

Listed:
  • Valentin BURCĂ

    (West University of Timișoara)

  • Oana BOGDAN

    (West University of Timișoara)

Abstract

Throughout the last three decades, the published literature has been drawing attention towards the ongoing deterioration of the quality of the summary financial statements published by the economic entities. Nevertheless, the financial statements provide conclusive information regarding the companies’ fraud potential. In this article, we aim to illustrate the utility of analytical models for fraud risk assessment by leveraging the information presented in the financial statements. These analytical procedures are even more useful in the current environment of the COVID-19 pandemic.

Suggested Citation

  • Valentin BURCĂ & Oana BOGDAN, 2021. "Detecting the Elements for Cosmeticizing the Financial Statements Using Analytical Models," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(5), pages 3-14, May.
  • Handle: RePEc:ahd:journl:v:2:y:2021:i:5:p:3-14
    DOI: 10.37945/cbr.2021.05.01
    as

    Download full text from publisher

    File URL: https://www.ceccarbusinessreview.ro/detecting-the-elements-for-cosmeticizing-the-financial-statements-using-analytical-models-a127d/download-PDF/
    Download Restriction: no

    File URL: https://www.ceccarbusinessreview.ro/detecting-the-elements-for-cosmeticizing-the-financial-statements-using-analytical-models-a127a/abstract/
    Download Restriction: no

    File URL: https://libkey.io/10.37945/cbr.2021.05.01?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
    ---><---

    More about this item

    Keywords

    financial reporting; fraud; financial ratios; Beneish M-Score;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • M49 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Other
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

    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:ahd:journl:v:2:y:2021:i:5:p:3-14. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Radu CIOBANU (email available below). General contact details of provider: .

    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.