IDEAS home Printed from https://ideas.repec.org/a/eme/majpps/maj-12-2014-1135.html
   My bibliography  Save this article

A finer-grained approach to assessing the “quality” (“quantity” and “richness”) of risk management disclosures

Author

Listed:
  • Jing Jia
  • Lois Munro
  • Sherrena Buckby

Abstract

Purpose - This paper aims to examine the “quality” of narrative risk management disclosures (RMD) from a “quantity” and “richness” (width and depth) perspective, utilising a finer-grained approach. Evidence is then provided on the relationships between RMD quality and the corporate determinants driving that quality. Design/methodology/approach - Within a multidimensional quality disclosure framework, annual report narrative RMD from the top 100 Australian Securities Exchange (ASX) listed companies precisely “matched” for the 2010 and 2012 years were examined using semantic content analysis. The relationship between the dimensions and sub-dimensions of RMD “quantity” and “richness”, and various corporate characteristics were explored using ordinary least squares (OLS) regression analysis. Findings - The results indicate that RMD are considerably lacking in quality, from the “quantity”, “width” and particularly the “depth” dimension and sub-dimensions for both years. Many companies provide “boiler plate” RMD over consecutive years and many do not comply with the intent of the ASX Corporate Governance Principles and Recommendations under the “if not, why not” regime (ASX CGC, 2010). Company size and cross-listing were found to be the primary determinants of higher quality RMD and, to a lesser extent, firm risk. Some evidence was found that “quality” RMD were less likely where companies are more highly leveraged and when their shareholders are more concentrated. Research limitations/implications - Although two coders independently coded the RMD and specific decision rules were followed, the subjectivity inherent in conducting semantic content analysis into the dimensions and sub-dimensions of the framework cannot be completely eliminated. However, by adopting a finer-grained approach, this study contributes to the global literature on the quality of RMD. Previous studies are extended by analysing and testing the individual dimensions and sub-dimensions of “quantity” and “richness” which provides new empirical evidence and a more comprehensive portrayal of RMD quality and a greater understanding why some companies are more likely to disclose higher quality RMD than others. Practical implications - These results provide useful and predominantly new empirical evidence on the quality of RMD for practitioners, regulators and researchers. As many companies are not complying with the “intent” of the “if not, why not” approach, these results support the argument for mandated narrative RMD regulations at an international level. Originality/value - The multidimensional framework of RMD “quantity” and “richness” provides a basis for examining not only how much is disclosed, but what is disclosed and how. In adopting a finer-grained approach, this study analyses and tests the individual dimensions and sub-dimensions of the framework. This provides a deeper understanding of the overall quality of RMD and the determinants driving RMD quality for the sample companies.

Suggested Citation

  • Jing Jia & Lois Munro & Sherrena Buckby, 2016. "A finer-grained approach to assessing the “quality” (“quantity” and “richness”) of risk management disclosures," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 31(8/9), pages 770-803, September.
  • Handle: RePEc:eme:majpps:maj-12-2014-1135
    DOI: 10.1108/MAJ-12-2014-1135
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/MAJ-12-2014-1135/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/MAJ-12-2014-1135/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/MAJ-12-2014-1135?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. Jia, Jing & Li, Zhongtian, 2022. "Risk management committees and readability of risk management disclosure," Journal of Contemporary Accounting and Economics, Elsevier, vol. 18(3).

    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:majpps:maj-12-2014-1135. 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.