IDEAS home Printed from https://ideas.repec.org/p/arx/papers/cond-mat-9903144.html
   My bibliography  Save this paper

Markovian approximation in foreign exchange markets

Author

Listed:
  • R. Baviera

    (Dip. di Fisica and I.N.F.M., Universita' dell'Aquila, Italy)

  • D. Vergni

    (Dip. di Fisica and I.N.F.M., Universita' dell'Aquila, Italy)

  • A. Vulpiani

    (Dip. di Fisica and I.N.F.M., Universita' dell'Aquila, Italy)

Abstract

In this paper we test the random walk hypothesis on the high frequency dataset of the bid--ask Deutschemark/US dollar exchange rate quotes registered by the inter-bank Reuters network over the period October 1, 1992 to September 30, 1993. Then we propose a stochastic model for price variation which is able to describe some important features of the exchange market behavior. Besides the usual correlation analysis we have verified the validity of this model by means of other approaches inspired by information theory . These techniques are not only severe tests of the approximation but also evidence some aspects of the data series which have a clear financial relevance.

Suggested Citation

  • R. Baviera & D. Vergni & A. Vulpiani, 1999. "Markovian approximation in foreign exchange markets," Papers cond-mat/9903144, arXiv.org.
  • Handle: RePEc:arx:papers:cond-mat/9903144
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/cond-mat/9903144
    File Function: Latest version
    Download Restriction: no
    ---><---

    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:arx:papers:cond-mat/9903144. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.