Advanced Search
MyIDEAS: Login to save this paper or follow this series

Bootstrap Unit Root Tests in Models with GARCH(1,1) Errors

Contents:

Author Info

Abstract

This paper proposes a bootstrap unit root test in models with GARCH(1,1) errors and establishes its asymptotic validity under mild moment and distributional restrictions. While the proposed bootstrap test for a unit root shares the power enhancing properties of its asymptotic counterpart (Ling and Li, 2003), it offers a number of important advantages. In particular, the bootstrap procedure does not require explicit estimation of nuisance parameters that enter the distribution of the test statistic and corrects the substantial size distortions of the asymptotic test that occur for strongly heteroskedastic processes. The simulation results demonstrate the excellent finite-sample properties of the bootstrap unit root test for a wide range of GARCH specifications.

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://alcor.concordia.ca/~gospodin/research/boot_ur_garch.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Concordia University, Department of Economics in its series Working Papers with number 09001.

as in new window
Length: 41 pages
Date of creation: Jan 2009
Date of revision:
Handle: RePEc:crd:wpaper:09001

Contact details of provider:
Postal: 1455, de Maisonneuve Blvd, Montréal, Québec, H3G 1M8
Phone: (514) 848-3900
Fax: (514) 848-4536
Web page: http://economics.concordia.ca
More information through EDIRC

Related research

Keywords: Unit root test; GARCH; Bootstrap;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

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

Citations

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:crd:wpaper:09001. 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: (Economics Department).

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.