Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets
Upon examining own volatility dependency for the three major sectors, namely Service, Industrial and Banking, in four GCC economies (Kuwait, Qatar, Saudi Arabia and UAE), the empirical findings suggest that Banking seems to be the least sensitive among the sectors to past own volatility, while Industrial is the most volatile to the onset of past shocks or news. Sector volatility spillovers show that Saudi Arabia has the least inter-sector spillovers, while tiny Qatar has the most. Saudi Arabia seems to be the most sensitive to geopolitics, while Kuwait is the least affected. The constant conditional correlations between the three sectors for all four GCC markets echo different economic advantages and varying roles in the economy. We also provide two examples using the estimates of the GCC equity sector markets for portfolio designs and hedging strategies.
|Date of creation:||10 Nov 2008|
|Contact details of provider:|| Postal: Postbus 1738, 3000 DR Rotterdam|
Phone: 31 10 4081111
Web page: http://www.eur.nl/ese
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ling, Shiqing & McAleer, Michael, 2003.
"Asymptotic Theory For A Vector Arma-Garch Model,"
Cambridge University Press, vol. 19(02), pages 280-310, April.
- Shiqing Ling & Michael McAleer, 2001. "Asymptotic Theory for a Vector ARMA-GARCH Model," ISER Discussion Paper 0549, Institute of Social and Economic Research, Osaka University.
- Hammoudeh, Shawkat & Li, Huimin, 2008. "Sudden changes in volatility in emerging markets: The case of Gulf Arab stock markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 47-63.
- Conrad, Jennifer & Gultekin, Mustafa N & Kaul, Gautam, 1991. "Asymmetric Predictability of Conditional Variances," Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 597-622.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
- Hassan, Syed Aun & Malik, Farooq, 2007. "Multivariate GARCH modeling of sector volatility transmission," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 470-480, July.
- Hammoudeh, Shawkat & Choi, Kyongwook, 2007. "Characteristics of permanent and transitory returns in oil-sensitive emerging stock markets: The case of GCC countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(3), pages 231-245, July.
- Malik, Farooq & Hammoudeh, Shawkat, 2007. "Shock and volatility transmission in the oil, US and Gulf equity markets," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 357-368.
- Zarour Bashar Abu & Siriopoulos Costas P, 2008. "Transitory and Permanent Volatility Components: The Case of the Middle East Stock Markets," Review of Middle East Economics and Finance, De Gruyter, vol. 4(2), pages 80-92, April.
- McAleer, Michael & Chan, Felix & Hoti, Suhejla & Lieberman, Offer, 2008. "Generalized Autoregressive Conditional Correlation," Econometric Theory, Cambridge University Press, vol. 24(06), pages 1554-1583, December.
- Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
- McAleer, Michael, 2005. "Automated Inference And Learning In Modeling Financial Volatility," Econometric Theory, Cambridge University Press, vol. 21(01), pages 232-261, February. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:ems:eureir:13780. 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: (RePub)
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.