IDEAS home Printed from https://ideas.repec.org/a/eee/jappol/v28y2009i3p167-188.html
   My bibliography  Save this article

Geographic earnings disclosure and trading volume

Author

Listed:
  • Hope, Ole-Kristian
  • Thomas, Wayne B.
  • Winterbotham, Glyn

Abstract

Beginning with Statement of Financial Accounting Standards No. 131 (SFAS 131), Disclosures about Segments of an Enterprise and Related Information, most US multinational firms no longer disclose geographic earnings in their annual reports. Given the recent growth in foreign operations of US firms and the varying operating environments around the world, information (or lack thereof) related to geographical performance can affect investors' information set. Using empirical tests that closely follow the [Kim, O., Verrecchia, R., 1997. Pre-announcement and event-period private information. Journal of Accounting and Economics 24, 395-419] model, we find results consistent with their predictions. Specifically, using a sample of firms with substantial foreign operations, we find evidence of a decrease in event period private information following adoption of SFAS 131 for firms that no longer disclose geographic earnings. These results suggest that decreased public information (i.e., non-disclosure of geographic earnings) reduces the ability of investors to utilize or generate private information in conjunction with the public announcement of quarterly earnings, which dampens trading. We also find evidence of a decrease in pre-announcement private information following adoption of SFAS 131. This is consistent with an overall improvement in public disclosures that has the effect of reducing differences in the precision of private information across investors in the period prior to the earnings announcement. However, such an effect is observed for both firms which no longer disclose geographic earnings and for firms that continue to disclose geographic earnings.

Suggested Citation

  • Hope, Ole-Kristian & Thomas, Wayne B. & Winterbotham, Glyn, 2009. "Geographic earnings disclosure and trading volume," Journal of Accounting and Public Policy, Elsevier, vol. 28(3), pages 167-188, May.
    • Handle: RePEc:eee:jappol:v:28:y:2009:i:3:p:167-188
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0278-4254(09)00018-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Alexis Cellier & Pierre Chollet & Jean†François Gajewski, 2016. "Do Investors Trade around Social Rating Announcements?," European Financial Management, European Financial Management Association, vol. 22(3), pages 484-515, June.
    2. Bianchi, Milo & Jehiel, Philippe, 2015. "Financial reporting and market efficiency with extrapolative investors," Journal of Economic Theory, Elsevier, vol. 157(C), pages 842-878.
    3. Hope, Ole-Kristian & Ma, Mark (Shuai) & Thomas, Wayne B., 2013. "Tax avoidance and geographic earnings disclosure," Journal of Accounting and Economics, Elsevier, vol. 56(2), pages 170-189.
    4. Michele Fabrizi & Antonio Parbonetti & Elisabetta Ipino & Michel Magnan, 2016. "Do Foreign Cash Holdings Generate Uncertainty for Market Participants?," CIRANO Working Papers 2016s-22, CIRANO.
    5. Aboud, Ahmed & Roberts, Clare & Mansour Zalata, Alaa, 2018. "The impact of IFRS 8 on financial analysts’ earnings forecast errors: EU evidence," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 33(C), pages 2-17.
    6. Chunlai Ye & Lin-Hui Yu, 2018. "The effect of restatements on trading volume reactions to earnings announcements," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 129-180, January.
    7. Chen, Tao, 2021. "Informed trading and earnings announcement driven disagreement in global markets," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 43(C).
    8. Guanming He & Helen Mengbing Ren & Richard Taffler, 2020. "The impact of corporate tax avoidance on analyst coverage and forecasts," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 447-477, February.
    9. Fernando, Guy D. & Schneible, Richard A. & Tripathy, Arindam, 2016. "Firm strategy and market reaction to earnings," Advances in accounting, Elsevier, vol. 33(C), pages 20-34.
    10. Shahid Khan & Mark Anderson & Hussein Warsame & Michael Wright, 2015. "Do IFRS‐Based Earnings Announcements Have More Information Content than Canadian GAAP‐Based Earnings Announcements?," Accounting Perspectives, John Wiley & Sons, vol. 14(3), pages 276-302, September.

    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:eee:jappol:v:28:y:2009:i:3:p:167-188. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jaccpubpol .

    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.