Regression-Based Tests for Persistence in Conditional Variances
Zacharias Psaradakis and
Elias Tzavalis
Discussion Papers from University of Exeter, Department of Economics
Abstract:
This paper considers regression-based test criteria for the hypothesis of conditional variance nonstationary in the logarithmic family of GARCH processes. The tests are based on teh ARMA representations that appropriate nonlinear transformations of GARCH-type processes admit. Simulation experiments investigate the performance of the tests in finite samples, both in the presence and absence of a structural change in the conditional variance process. The methods are also used to test the hypothesis of integration in variance for some economic time series.
Keywords: UNIT ROOTS; ECONOMETRICS (search for similar items in EconPapers)
JEL-codes: C12 C22 (search for similar items in EconPapers)
Pages: 27 pages
Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (2)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:exe:wpaper:9501
Access Statistics for this paper
More papers in Discussion Papers from University of Exeter, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sebastian Kripfganz ().