The association between disclosure level and information quality: voluntary management earnings forecasts
AbstractThis study investigates the empirical association between managers information advantages and disclosure quality choice in the context of management earnings forecasts (MEF). The main hypothesis is that the quality of information available to managers is associated with cross-sectional differences in firm characteristics, and that managers information advantages determine four classes of forecast pattern: no disclosure, qualitative disclosure (open-ended interval estimate or general impression), range (close-interval estimate) forecasts and point estimate. Prior works were extended through utilization of a multi-level forecast precision model, and through comparison of selected firm characteristics in forecast years with non-forecast years. The major findings of this study are as follows. First, the results support the notion that managers are likely to select low-level disclosure precision as the magnitude of earnings volatility increases. Second, the findings indicate that the proportion of outside ownership is significantly associated with high-level forecast precision. Lastly, the results indicate the dispersion of analysts forecasts (before the MEF) is larger in the year of the MEF than in a non-forecast year. A discussion of the implications of these results is provided.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Financial Economics.
Volume (Year): 13 (2003)
Issue (Month): 9 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAFE20
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Grossman, Sanford J, 1981. "The Informational Role of Warranties and Private Disclosure about Product Quality," Journal of Law and Economics, University of Chicago Press, vol. 24(3), pages 461-83, December.
- Kaplan, Robert S & Urwitz, Gabriel, 1979. "Statistical Models of Bond Ratings: A Methodological Inquiry," The Journal of Business, University of Chicago Press, vol. 52(2), pages 231-61, April.
- Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
- Spence, A Michael, 1973. "Job Market Signaling," The Quarterly Journal of Economics, MIT Press, vol. 87(3), pages 355-74, August.
- Imhoff, Eugene Jr., 1992. "The relation between perceived accounting quality and economic characteristics of the firm," Journal of Accounting and Public Policy, Elsevier, vol. 11(2), pages 97-118.
- Brown, Lawrence D & Rozeff, Michael S, 1978. "The Superiority of Analyst Forecasts as Measures of Expectations: Evidence from Earnings," Journal of Finance, American Finance Association, vol. 33(1), pages 1-16, March.
- Fried, Dov & Givoly, Dan, 1982. "Financial analysts' forecasts of earnings : A better surrogate for market expectations," Journal of Accounting and Economics, Elsevier, vol. 4(2), pages 85-107, October.
- Verrecchia, Robert E., 1990. "Information quality and discretionary disclosure," Journal of Accounting and Economics, Elsevier, vol. 12(4), pages 365-380, March.
- Bhushan, Ravi, 1989. "Firm characteristics and analyst following," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 255-274, July.
- Hichem Khlif & Mohsen Souissi, 2010. "The determinants of corporate disclosure: a meta-analysis," International Journal of Accounting and Information Management, Emerald Group Publishing, vol. 18(3), pages 198-219, September.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.