IDEAS home Printed from https://ideas.repec.org/a/jle/joujam/jame2481.html

The impact of IFRS 16 on earnings management: Evidence from Borsa Istanbul

Author

Listed:
  • Goksal Selahatdin Kelten

    (Pamukkale University / Turkiye)

  • Ali Atilla Perek

    (Marmara University / Turkiye)

Abstract

This study explores the relationship between earnings management (EM) and the implementation of IFRS 16 - Leases in Borsa Istanbul. Using panel and panel quantile regression analyses, the study examines how IFRS 16, and closely related items (Size, ROA, Leverage, and CFO) effect EM. The analysis includes the annual data of 218 companies traded continuously on Borsa Istanbul in 2014â€"2021 and uses the Kasznik (1999) model to calculate discretionary accruals. According to the panel regression result, no significant link is observed between IFRS 16 and EM, while quantile regression reveals that IFRS 16 reduces EM in firms implementing small-scale EM applications but increases it in large-scale ones. These findings provide insights for investors, policymakers, regulators, and other market participants, highlighting the complex interplay between accounting standards and managerial discretion in financial reporting at Borsa Istanbul.

Suggested Citation

  • Goksal Selahatdin Kelten & Ali Atilla Perek, 2024. "The impact of IFRS 16 on earnings management: Evidence from Borsa Istanbul," Journal of Applied Microeconometrics, Holistence Publications, vol. 4(2), pages 67-82.
  • Handle: RePEc:jle:joujam:jame2481
    DOI: 10.53753/jame.2481
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:jle:joujam:jame2481. 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: Mehmet SAHIN (email available below). General contact details of provider: https://journals.gen.tr/index.php/jame .

    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.