IDEAS home Printed from https://ideas.repec.org/a/fip/fedker/y1991isepp21-35nv.76no.5.html
   My bibliography  Save this article

Challenges to stock market efficiency: evidence from mean reversion studies

Author

Listed:
  • Charles Engel
  • Charles S. Morris

Abstract

No abstract is available for this item.

Suggested Citation

  • Charles Engel & Charles S. Morris, 1991. "Challenges to stock market efficiency: evidence from mean reversion studies," Economic Review, Federal Reserve Bank of Kansas City, vol. 76(Sep), pages 21-35.
  • Handle: RePEc:fip:fedker:y:1991:i:sep:p:21-35:n:v.76no.5
    as

    Download full text from publisher

    File URL: https://www.kansascityfed.org/documents/70/1991-Challenges%20to%20Stock%20Market%20Efficiency:%20Evidence%20from%20Mean%20Reversion%20Studies.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Pernagallo, Giuseppe & Torrisi, Benedetto, 2020. "Blindfolded monkeys or financial analysts: Who is worth your money? New evidence on informational inefficiencies in the U.S. stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    2. Pat Wilson & John Okunev & Guy Ta, 1994. "Are Real Estate and Securities Markets Integrated? Some Australian Evidence," Working Paper Series 42, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. John Okunev & Patrick J. Wilson, 1997. "Using Nonlinear Tests to Examine Integration Between Real Estate and Stock Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(3), pages 487-503, September.
    4. Ratner, Mitchell, 1996. "Investigating the behavior and characteristics of the Madrid Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 20(1), pages 135-149, January.
    5. Jim Clayton, 1998. "Further Evidence on Real Estate Market Efficiency," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 41-58.
    6. Ajwa, Martine Therese, 1995. "Technical trading patterns: can they truly predict price movements and can they be exploited for excess returns?," ISU General Staff Papers 1995010108000011754, Iowa State University, Department of Economics.

    More about this item

    Keywords

    Stock market;

    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:fip:fedker:y:1991:i:sep:p:21-35:n:v.76no.5. 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: Zach Kastens (email available below). General contact details of provider: https://edirc.repec.org/data/frbkcus.html .

    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.