IDEAS home Printed from https://ideas.repec.org/p/sce/scecf0/326.html
   My bibliography  Save this paper

Market Structure, Price Discovery And Neural Learning In An Artificial Fx Market

Author

Listed:
  • Jing Yang

    (Bank of Canada)

Abstract

In this paper, we simulate a decentralized multiple dealership market using agent based model. Risk averse dealers receive order flow from customers, which can not be observed by the other dealers. Then dealers trade among themselves. Neural net-works are used to represent a decision model for each dealer. In the course of several different experiment design, we investi-gate a number of features of our agent-based model: informa-tional efficiency of the market and the impact of changing of market structure on this efficiency. Our simulated market is able to replicate some features of the experiments with human subject regarding informational efficiency.

Suggested Citation

  • Jing Yang, 2000. "Market Structure, Price Discovery And Neural Learning In An Artificial Fx Market," Computing in Economics and Finance 2000 326, Society for Computational Economics.
  • Handle: RePEc:sce:scecf0:326
    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.

    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:sce:scecf0:326. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/sceeeea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.