IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Prediction Inference for Time Series

Listed author(s):
  • de Luna, Xavier


    (Department of Economics, Umeå University)

Registered author(s):

    In this paper we briefly review Bayesian and frequentist prediction inference for time series, and then advocate the use of guaranteed-content prediction intervals. These intervals are such that their content (or coverage) is guaranteed with a given high probability. They, thus, are more relevant for the observed time series at hand than classical prediction intervals, whose content is guaranteed merely on average over hypothetical repetitions of the prediction process. Guaranteed-content intervals should, therefore, conciliate Bayesians and frequentists when no prior belief on the parameterization is available. This type of prediction inference has, however, been ignored in the time series context because of a lack of results. This gap is filled by deriving asymptotic results for a general family of autoregressive models, thereby extending existing results in non-linear regression. The actual construction of guaranteed-content prediction intervals directly follows from this theory. Simulated and real data are used to illustrate the practical difference between classical and guaranteed-content prediction intervals for ARCH models.

    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:
    Download Restriction: no

    Paper provided by Umeå University, Department of Economics in its series Umeå Economic Studies with number 519.

    in new window

    Length: 13 pages
    Date of creation: 17 Jan 2000
    Handle: RePEc:hhs:umnees:0519
    Contact details of provider: Postal:
    Department of Economics, Umeå University, S-901 87 Umeå, Sweden

    Phone: 090 - 786 61 42
    Fax: 090 - 77 23 02
    Web page:

    More information through EDIRC

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

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

    When requesting a correction, please mention this item's handle: RePEc:hhs:umnees:0519. 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: (David Skog)

    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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.