Oil Prices and GCC Stock Markets: New Evidence from Smooth Transition Models
Nidhaleddine Ben Cheikh (),
Sami Ben Naceur (),
Oussama Kanaan and
Christophe Rault ()
No 7072, CESifo Working Paper Series from CESifo
Our paper examines the effect of oil price changes on Gulf Cooperation Council (GCC) stock markets using nonlinear smooth transition regression (STR) models. Contrary to conventional wisdom, our empirical results reveal that GCC stock markets do not have similar sensitivities to oil price changes. We document the presence of stock market returns’ asymmetric reactions in some GCC countries, but not for others. In Kuwait’s case, negative oil price changes exert larger impacts on stock returns than positive oil price changes. When considering the asymmetry with respect to the magnitude of oil price variation, we find that Oman’s and Qatar’s stock markets are more sensitive to large oil price changes than to small ones. Our results highlight the importance of economic stabilization and reform policies that can potentially reduce the sensitivity of stock returns to oil price changes, especially with regard to the existence of asymmetric behavior.
Keywords: GCC stock markets; oil prices; smooth transition regression models (search for similar items in EconPapers)
JEL-codes: G12 F30 Q43 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ara, nep-ene and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
Working Paper: Oil Prices and GCC Stock Markets: New Evidence from Smooth Transition Models (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ces:ceswps:_7072
Access Statistics for this paper
More papers in CESifo Working Paper Series from CESifo Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().