IDEAS home Printed from https://ideas.repec.org/a/eme/jcmspp/jcms-10-2017-006.html
   My bibliography  Save this article

Statistical studies of financial reports and stock markets

Author

Listed:
  • Shyam Sunder

Abstract

Purpose - The purpose of this paper is to examine the usefulness of statistical studies of financial reports and stock market data for improving corporate financial reports. Design/methodology/approach - Analytical writing. Findings - It is often claimed that statistical studies of co-variation between financial and stock market data can help set better financial reporting policy. Such co-variation, even when it can be estimated, tells us little about which financial reports help to make better financial decisions. A case in support of such claims remains to be made. Practical implications - The readers are advised to be extremely careful in drawing inferences from studies of co-variation between accounting and stock market data for financial reporting policy. Social implications - Inference from accounting empirical studies to policy needs better rationale to avoid bad policy consequences. Originality/value - This paper raises original questions about policy inferences from a large class of empirical research in accounting.

Suggested Citation

  • Shyam Sunder, 2017. "Statistical studies of financial reports and stock markets," Journal of Capital Markets Studies, Emerald Group Publishing Limited, vol. 1(1), pages 5-9, October.
  • Handle: RePEc:eme:jcmspp:jcms-10-2017-006
    DOI: 10.1108/JCMS-10-2017-006
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JCMS-10-2017-006/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JCMS-10-2017-006/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no

    File URL: https://libkey.io/10.1108/JCMS-10-2017-006?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
    ---><---

    Citations

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


    Cited by:

    1. Harshit GURANI, 2023. "Predicting Stock Performance in Indian Mid-Cap and Small-Cap Firms: An Exploration of Financial Ratios Through Logistic Regression Analysis," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(9), pages 56-63, September.

    More about this item

    Keywords

    Efficient markets; Financial reporting policy; Statistical co-variation; M41;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:eme:jcmspp:jcms-10-2017-006. 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.