IDEAS home Printed from https://ideas.repec.org/a/bla/joares/v22y1984i1p369-379.html
   My bibliography  Save this article

A Time-Series Analysis Of Nonseasonal Quarterly Earnings Data

Author

Listed:
  • LOREK, KS
  • BATHKE, AW

Abstract

No abstract is available for this item.

Suggested Citation

  • Lorek, Ks & Bathke, Aw, 1984. "A Time-Series Analysis Of Nonseasonal Quarterly Earnings Data," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 369-379.
    • Handle: RePEc:bla:joares:v:22:y:1984:i:1:p:369-379
    DOI: http://hdl.handle.net/10.2307/2490718
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/pdf/2490718.pdf
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.2307/2490718?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. Kenneth Lorek & G. Willinger & Allen Bathke, 2008. "Statistically based quarterly earnings expectation models for nonseasonal firms," Review of Quantitative Finance and Accounting, Springer, vol. 31(1), pages 105-119, July.
    2. Silhan, Peter A., 2014. "Income smoothing from a Census X-12 perspective," Advances in accounting, Elsevier, vol. 30(1), pages 106-115.
    3. Lawrence D. Brown, 1999. "Comment on “Post†Earnings Announcement Drift and the Diseemination of Predictable Information†," Contemporary Accounting Research, John Wiley & Sons, vol. 16(2), pages 341-345, June.
    4. Richard M. Morton, 1998. "The Incremental Informativeness of Stock Prices for Future Accounting Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 15(1), pages 57-81, March.
    5. Kenneth Lorek & G. Willinger, 2007. "The contextual nature of the predictive power of statistically-based quarterly earnings models," Review of Quantitative Finance and Accounting, Springer, vol. 28(1), pages 1-22, January.
    6. Lorek, Kenneth S., 2014. "A critical assessment of the time-series literature in accounting pertaining to quarterly accounting numbers," Advances in accounting, Elsevier, vol. 30(2), pages 315-321.

    More about this item

    Keywords

    Quarterly earnings; Nonseasonal earnings; Time-series model; Forecasting content;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G3 - Financial Economics - - Corporate Finance and Governance

    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:bla:joares:v:22:y:1984:i:1:p:369-379. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0021-8456 .

    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.