Forecasting volatility in Gulf Cooperation Council emerging markets: the predictive power of alternative models
AbstractIn this paper, a forecast of conditional volatility in Saudi, Kuwait and Abu-Dhabi markets is performed. To capture the skewness and excess kurtosis that characterise asset returns in Gulf Cooperation Council markets, the conditional volatility of asset returns was estimated using skewed t-distribution, symmetric student t-distribution and the Normal distribution specifications. Prediction performance results indicate that the normal and symmetric t-distribution models outperform the skewed t-distribution model.
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.
Bibliographic InfoArticle provided by Inderscience Enterprises Ltd in its journal Afro-Asian J. of Finance and Accounting.
Volume (Year): 1 (2008)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://www.inderscience.com/browse/index.php?journalID=214
forecasting volatility; Gulf Cooperation Council; GCC markets; emerging markets; skewness; Saudi Arabia; Kuwait; Abu Dhabi; asset returns; kurtosis; alternative models.;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Graham Langley).
If references are entirely missing, you can add them using this form.