Modeling Time-Varying Volatility and Expected Returns: Evidence from the GCC and MENA Regions
Mazin A. M. Al Janabi,
Abdulnasser Hatemi-J and
Manuchehr Irandoust
Emerging Markets Finance and Trade, 2010, vol. 46, issue 5, 39-47
Abstract:
The aim of this study is to investigate empirically the underlying nexus of stock market returns and volatility in the Gulf Cooperation Council (GCC) countries and Middle East and North Africa (MENA) region by using the GARCH-M model. We find that volatility is time-varying in all countries, which indicates substantial variation in the degree of risk across time. However, we do not find empirical support that this time-varying volatility significantly explains expected returns, except in the case of Kuwait, United Arab Emirates, and the MENA region portfolio. Our findings show that stock return volatility is negatively correlated with stock returns in these three markets under the assumption of investor risk aversion. This lends some support to the hypothesis of a volatility-driven negative relationship in the literature. The policy implications of our results are discussed.
Keywords: emerging markets; expected return; GARCH-M; Gulf Cooperation Council (GCC); risk management; volatility (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://mesharpe.metapress.com/link.asp?target=contribution&id=801X4162MU786862 (text/html)
Access to full text is restricted to subscribers.
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:mes:emfitr:v:46:y:2010:i:5:p:39-47
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20
Access Statistics for this article
More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().