IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i3p5070-5085id7707.html
   My bibliography  Save this article

Comparative analysis of financial statement distortion detection: Insights from Kazakhstan and Japan

Author

Listed:
  • Oksana Yu. Kogut
  • Anar I. Kidirmaganbetova
  • Anna Bagieńska
  • Zhanar Oralbayeva

Abstract

To present and compare the financial reporting control situation between Kazakhstan and Japan, and to disclose methods of detecting and preventing distortions in financial statements that can be used to ensure the integrity and accuracy of doing business. A literature study using bibliometric analysis, including the identification of causes, ways, and methods to minimize distortions in companies' financial statements, a case study of companies in financial distress in Kazakhstan and Japan, and the use of the Beneish model for early identification of potential risks. The topics of scientific research on distortions in financial statements cover many aspects. Similar methods of assessing financial statements for distortions, as well as the Beneish model, can be applied in Kazakhstan and Japan. The main differences used in the internal assessment of reports include a different approach to the internal control system and the transparency system of financial data. Although it may still be challenging and somewhat unfair to compare two countries due to differences in economic development and systemic internal controls, there are shared methods for detecting financial statement misstatements used by companies in both. One such method is the Beneish M-Score, which has demonstrated its applicability in analyzing companies from both countries. The article outlines how to identify distortions in financial statements and take measures to prevent them using internal control methods, the influence of third-party factors, and the Beneish methodology.

Suggested Citation

  • Oksana Yu. Kogut & Anar I. Kidirmaganbetova & Anna Bagieńska & Zhanar Oralbayeva, 2025. "Comparative analysis of financial statement distortion detection: Insights from Kazakhstan and Japan," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(3), pages 5070-5085.
  • Handle: RePEc:aac:ijirss:v:8:y:2025:i:3:p:5070-5085:id:7707
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/7707/1670
    Download Restriction: no
    ---><---

    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:aac:ijirss:v:8:y:2025:i:3:p:5070-5085:id:7707. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.