IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00194487.html
   My bibliography  Save this paper

Consistent estimation to determine the embedding dimension in financial data

Author

Listed:
  • Dominique Guegan

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique)

  • Guillaume Léorat

Abstract

To detect chaos on observational data, we first need to know the embedding dimension. We propose a consistent approach to estimate this dimension using the theoretical work of Bosq and Guégan (1994) and we apply the results to real financial data.

Suggested Citation

  • Dominique Guegan & Guillaume Léorat, 1997. "Consistent estimation to determine the embedding dimension in financial data," Post-Print halshs-00194487, HAL.
  • Handle: RePEc:hal:journl:halshs-00194487
    DOI: 10.1080/135184797337453
    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 search for a similarly titled item that would be available.

    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:hal:journl:halshs-00194487. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.