JOURNAL ARTICLE

Does IFRS adoption enhance foreign ownership? Empirical evidence from French listed companies.

  • Published In: International Journal of Financial Engineering, 2023, v. 10, n. 2. P. 1 1 of 3

  • Database: Mathematics Source 2 of 3

  • Authored By: Garrouch, Hela 3 of 3

Abstract

This paper examines the moderating role of corporate governance mechanisms on the relationship between mandatory international financial reporting standards (IFRS) and foreign investors' ownership. This study is based on a sample of French firms listed on the SBF 120 stock index with an observation period from 2002 to 2012. The results show that IFRS adoption leads to an increase in foreign equity in the French firms. This is consistent with the idea that international accounting harmonization improves financial statements comparability and transactions transparency which attracts more foreign investors. We also show the role of governance mechanisms as means of IFRS enforcement. In fact, the increase in foreign investors' ownership depends on effective enforcement. However, for the French case, only BIG four auditors are efficient in enforcing IFRS adoption while independent board members have close relationship with managers which results in a passive attitude. Our findings imply that information quality has an important role in decision making. But they also show that IFRS adoption should be joined by efficient enforcement tools to conduct presumed benefits. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Financial Engineering. 2023/06, Vol. 10, Issue 2, p1
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2023
  • ISSN:2424-7863
  • DOI:10.1142/S2424786323500032
  • Accession Number:163853413
  • Copyright Statement:Copyright of International Journal of Financial Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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