IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-31186-7_2.html
   My bibliography  Save this book chapter

Technical Analysis Techniques versus Mathematical Models: Boundaries of Their Validity Domains

In: Monte Carlo and Quasi-Monte Carlo Methods 2004

Author

Listed:
  • Christophette Blanchet-Scalliet

    (université Nice Sophia-Antipolis, Laboratoire Dieudonné)

  • Awa Diop

    (INRIA, Projet OMEGA)

  • Rajna Gibson

    (University of Zürich, NCCR FINRISK, Swiss Banking Institute)

  • Denis Talay

    (INRIA, Projet OMEGA)

  • Etienne Tanré

    (INRIA, Projet OMEGA)

Abstract

We aim to compare financial technical analysis techniques to strategies which depend on a mathematical model. In this paper, we consider the moving average indicator and an investor using a risky asset whose instantaneous rate of return changes at an unknown random time. We construct mathematical strategies. We compare their performances to technical analysis techniques when the model is misspecified. The comparisons are based on Monte Carlo simulations.

Suggested Citation

  • Christophette Blanchet-Scalliet & Awa Diop & Rajna Gibson & Denis Talay & Etienne Tanré, 2006. "Technical Analysis Techniques versus Mathematical Models: Boundaries of Their Validity Domains," Springer Books, in: Harald Niederreiter & Denis Talay (ed.), Monte Carlo and Quasi-Monte Carlo Methods 2004, pages 15-30, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-31186-7_2
    DOI: 10.1007/3-540-31186-6_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-540-31186-7_2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.