IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v19y1971i4p845-861.html
   My bibliography  Save this article

Common-Stock Transaction Sequences and the Random-Walk Model

Author

Listed:
  • Donald M. Simmons

    (W. R. Grace and Company, Cambridge, Massachusetts)

Abstract

This paper reviews the current status of the random-walk model as it applies to price-change sequences in common stocks, and examines certain striking dependencies in these sequences at the transaction level. In particular, successive transaction-price changes are seen to be negatively correlated, with each price change projecting its negative influence forward toward its successors in the sequence. The strength of this influence is diminished sharply by each nonzero price change that it is required to “penetrate,” but is only slightly weakened when projected across changes of zero magnitude. In the latter case, in fact, statistical dependency is shown to exist across intervals of as many as ten transactions or more.

Suggested Citation

  • Donald M. Simmons, 1971. "Common-Stock Transaction Sequences and the Random-Walk Model," Operations Research, INFORMS, vol. 19(4), pages 845-861, August.
  • Handle: RePEc:inm:oropre:v:19:y:1971:i:4:p:845-861
    DOI: 10.1287/opre.19.4.845
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.19.4.845
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.19.4.845?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
    ---><---

    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:inm:oropre:v:19:y:1971:i:4:p:845-861. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.