IDEAS home Printed from https://ideas.repec.org/p/aeb/wpaper/201705y2017.html
   My bibliography  Save this paper

Limits for the Gaussian QMLE in the Non-Stationary GARCH(1,1) Mod

Author

Listed:
  • Stelios Arvanitis

    (Athens University of Economics and Business)

  • Alexandros Louka

    (Athens University of Economics and Business)

Abstract

We derive the limit theory of the Gaussian QMLE in the non-stationary GARCH(1,1) model when the square dinnovation process lies in the domain of attraction of a stable law. Analogously to the stationary case, when the stability parameter lies in (1, 2], we find regularly varying rates and stable limits for the QMLE of the ARCH and GARCH parame- ters.

Suggested Citation

  • Stelios Arvanitis & Alexandros Louka, 2017. "Limits for the Gaussian QMLE in the Non-Stationary GARCH(1,1) Mod," Working Papers 201705, Athens University Of Economics and Business, Department of Economics.
  • Handle: RePEc:aeb:wpaper:201705:y:2017
    as

    Download full text from publisher

    File URL: http://www2.econ.aueb.gr/uploadfiles/AllDP052017
    File Function: Released version, 2017
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Martingale Limit Theorem; Domain of Attraction; Stable Distribution; Slowly Varying Sequence; Non-Stationarity; Gaussian QMLE; Regularly Varying Rate.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aeb:wpaper:201705:y:2017. 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: Katerina Michailidou (email available below). General contact details of provider: https://edirc.repec.org/data/auebugr.html .

    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.