IDEAS home Printed from https://ideas.repec.org/a/ucp/jnlbus/v66y1993i4p541-68.html
   My bibliography  Save this article

The Value Line Enigma Extended: An Examination of the Performance of Option Recommendations

Author

Listed:
  • Broughton, John B
  • Chance, Don M

Abstract

The authors extend the research on the Value Line enigma by examining the performance of call recommendations in Value Line Options. D. Galai's hedge decomposition procedure identifies the components of the calls' returns. Abnormal call returns were most pronounced immediately following the purchase, which is consistent with studies of Value Line's stock rankings. The largest and most significant abnormal performance was by calls assigned the highest rank written on stocks judged by Value Line to be correctly priced. Abnormal call return performance by joint call and stock ranks was consistent with hypothesis that Value Line identifies underpriced call options. Copyright 1993 by University of Chicago Press.

Suggested Citation

  • Broughton, John B & Chance, Don M, 1993. "The Value Line Enigma Extended: An Examination of the Performance of Option Recommendations," The Journal of Business, University of Chicago Press, vol. 66(4), pages 541-568, October.
  • Handle: RePEc:ucp:jnlbus:v:66:y:1993:i:4:p:541-68
    DOI: 10.1086/296617
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/296617
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

    File URL: https://libkey.io/10.1086/296617?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
    ---><---

    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. Prombutr, Wikrom & Lockwood, Jimmy & Zhang, Ying & Le, Steven V., 2016. "Investor response to online value line rank changes: Foreign versus local stocks," Global Finance Journal, Elsevier, vol. 30(C), pages 10-26.
    2. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    3. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.

    More about this item

    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:ucp:jnlbus:v:66:y:1993:i:4:p:541-68. 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: Journals Division (email available below). General contact details of provider: https://www.jstor.org/journal/jbusiness .

    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.