A non-nested test of GARCH vs. EGARCH models
AbstractThis study uses a Cox-type non-nested test. The test is obtained using Monte Carlo hypothesis tests with the log likelihood ratio as the test statistic. Monte Carlo methods are used to obtain the probability of a larger value of the test statistic under the null hypothesis. The approach used does not rely upon asymptotic normality. Using the maximum likelihood estimation technique, two competing time series models, generalized autoregressive conditional heteroscedasticity (GARCH) and exponential GARCH (EGARCH) models of daily spot prices of Deutsche mark are estimated. Using Monte Carlo hypothesis tests, then, p-values for GARCH vs. EGARCH models are calculated. The EGARCH model cannot be rejected, while the GARCH model is rejected.
Download InfoIf 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.
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 InfoArticle provided by Taylor and Francis Journals in its journal Applied Economics Letters.
Volume (Year): 4 (1997)
Issue (Month): 12 ()
Contact details of provider:
Web page: http://www.tandf.co.uk/journals/routledge/13504851.html
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- In, Francis & Brown, Rob & Fang, Victor, 2003. "Modeling volatility and changes in the swap spread," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 545-561.
- Malmsten, Hans, 2004. "Evaluating exponential GARCH models," Working Paper Series in Economics and Finance 564, Stockholm School of Economics, revised 03 Sep 2004.
- Malmsten, Hans & Teräsvirta, Timo, 2004. "Stylized Facts of Financial Time Series and Three Popular Models of Volatility," Working Paper Series in Economics and Finance 563, Stockholm School of Economics, revised 03 Sep 2004.
- Menelaos Karanasos & J. Kim, .
"Moments of the ARMA-EGARCH Model,"
00/29, Department of Economics, University of York.
- Teräsvirta, Timo, 2006. "An introduction to univariate GARCH models," Working Paper Series in Economics and Finance 646, Stockholm School of Economics.
- Jonathan Batten & Francis In, 2006. "Dynamic interaction and valuation of quality yen Eurobonds in a multivariate EGARCH framework," Applied Financial Economics, Taylor and Francis Journals, vol. 16(12), pages 881-892.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.