IDEAS home Printed from https://ideas.repec.org/a/ris/ejessy/0136.html
   My bibliography  Save this article

Some Known Facts about Financial Data

Author

Listed:
  • de Bodt, Eric

    (Université Catholique de Louvain)

  • Rynkiewicz, Joseph

    (Université Paris I, SAMOS-MATISSE)

  • Cottrell, Marie

    (Université Paris I, SAMOS-MATISSE)

Abstract

Many researchers are interesting in applying the neural networks methods to financial data. In fact these data are very complex, and classical methods do not always give satisfactory results. They need strong hypotheses which can be false, they have a strongly non-linear structures, and so on. But neural models must also be cautiously used. The black box aspect can be very dangerous. In this very simple paper, we try to indicate some specificity of financial data, to prevent some bad use of neural models.

Suggested Citation

  • de Bodt, Eric & Rynkiewicz, Joseph & Cottrell, Marie, 2004. "Some Known Facts about Financial Data," European Journal of Economic and Social Systems, Lavoisier, vol. 17(1-2), pages 167-182.
  • Handle: RePEc:ris:ejessy:0136
    as

    Download full text from publisher

    File URL: http://ejess.revuesonline.com/article.jsp?articleId=4503
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Financial Data; Neural Networks; Empirical Evidences;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • G00 - Financial Economics - - General - - - General

    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:ris:ejessy:0136. 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: Stefano Lucarelli (email available below). General contact details of provider: http://ejess.revuesonline.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.