Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/58011
Authors: 
Alfreedi, Ajab A.
Isa, Zaidi
Hassan, Abu
Year of Publication: 
2012
Citation: 
[Journal:] Journal of Statistical and Econometric Methods [ISSN:] 2241-0376 [Publisher:] International Scientific Press [Volume:] 1 [Year:] 2012 [Issue:] 1 [Pages:] 111-131
Abstract: 
This study examines the regime shifts in volatility in the stock markets of Gulf Cooperation Council (GCC) countries by employing the iterated cumulative sum of squares generalized autoregressive conditional heteroscedasticity (ICSSGARCH) model. Using the weekly data over the period 2003-2010, the GARCH models are estimated accounting for the sudden shifts detected by ICSS algorithm. The unexpected changes in stock price volatility seem to arise from the important global, regional, and domestic political as well as economic events. The findings also suggest that the ignorance of structural changes in volatility seems to lead to overestimation of persistence parameters of GARCH models. This finding corroborates many earlier studies in this context.
Subjects: 
GCC
stock market volatility
ICSS-GARCH
heavy-tailed conditional density
Document Type: 
Article

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