Advanced Search
MyIDEAS: Login

The nearest neighbour method as a test for detecting complex dynamics in financial series. An empirical application

Contents:

Author Info

  • Teresa Aparicio
  • Eduardo Pozo
  • Dulce Saura
Registered author(s):

    Abstract

    In this paper the nearest neighbour forecasting method is applied to five series taken from the US Stock Market, with the aim of testing whether these display some kind of chaotic dynamics. The main result of this analysis is that the hypothesis may indeed be accepted for all five series. Furthermore, this paper has tried to test the usefulness of the method in terms of the quality of the predictions, with the results obtained being satisfactory in all cases.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100010007986
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

    Volume (Year): 12 (2002)
    Issue (Month): 7 ()
    Pages: 517-525

    as in new window
    Handle: RePEc:taf:apfiec:v:12:y:2002:i:7:p:517-525

    Contact details of provider:
    Web page: http://www.tandfonline.com/RAFE20

    Order Information:
    Web: http://www.tandfonline.com/pricing/journal/RAFE20

    Related research

    Keywords:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Aparicio, Teresa & Pozo, Eduardo F. & Saura, Dulce, 2008. "Detecting determinism using recurrence quantification analysis: Three test procedures," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 768-787, March.
    2. Arroyo, Javier & Maté, Carlos, 2009. "Forecasting histogram time series with k-nearest neighbours methods," International Journal of Forecasting, Elsevier, vol. 25(1), pages 192-207.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:taf:apfiec:v:12:y:2002:i:7:p:517-525. 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: (Michael McNulty).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.