IDEAS home Printed from https://ideas.repec.org/a/eme/arjpps/arj-01-2017-0020.html
   My bibliography  Save this article

The impact of international financial reporting standards on fund performance

Author

Listed:
  • Dmitrij Rubanov
  • Matthias Nnadi

Abstract

Purpose - The purpose of this paper is to examine the effect of international financial reporting standards (IFRS) on the performance of UK investment closed-end trust funds with domestic equity focus using Carhart’s Four-Factor model. Design/methodology/approach - The paper is based on the Efficient Market Hypothesis, which argues that all available information is already included in the price of assets, and therefore, investors cannot beat the market or generate abnormal returns. Findings - The results show that on average, UK investment trusts neither do generate abnormal returns, nor is their performance persistent. This paper provides empirical evidence to support the efficient market hypotheses and provides proof that the adoption of IFRS has, on average, a decreasing impact on the excess returns generated by UK investment trusts. Originality/value - The findings of this paper have business policy implications for investment trust in the UK.

Suggested Citation

  • Dmitrij Rubanov & Matthias Nnadi, 2018. "The impact of international financial reporting standards on fund performance," Accounting Research Journal, Emerald Group Publishing Limited, vol. 31(1), pages 102-120, May.
    • Handle: RePEc:eme:arjpps:arj-01-2017-0020
    DOI: 10.1108/ARJ-01-2017-0020
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/ARJ-01-2017-0020/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/ARJ-01-2017-0020/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/ARJ-01-2017-0020?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Taufiq Choudhry & Gishan Dissanaike & Ranadeva Jayasekera & Woo-Young Kang & Matthias Nnadi, 2021. "Loss sensitive investors and positively biased analysts in Hong Kong stock market," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1345-1371, November.

    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:eme:arjpps:arj-01-2017-0020. 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: Emerald Support (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.