Crude Oil Price Uncertainty and Stock Markets in Gulf Corporation Countries: A Var-Garch Copula Model

Crude Oil Price Uncertainty and Stock Markets in Gulf Corporation Countries: A Var-Garch Copula Model

Jaghoubi Salma

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Crude Oil Price Uncertainty and Stock Markets in Gulf Corporation Countries: A Var-Garch Copula Model

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Abstract

The main objectives of this study are twofold. The first objective is to examine the volatility spillover between the GCC stock markets and Oil prices, over the period 2005-2012, in a multivariate setting, using the VAR (1)-GARCH (1,1) model which allows for transmission in returns and volatility. The second is to investigate the dependence structure and to test the degree of the dependence between financial returns using copula functions. Five candidates, the Gaussian, the Student’s t, the Frank, the Clayton and the Gumbel copulas, are compared. Our empirical results for the first objective suggest that there exist moderate cross market volatility transmission and shocks between the markets, indicating that the past innovation in stock market have great effect on future volatility in oil market and vice versa. 0

References

36 Cites in Article

Reference Format

Chaker Aloui,Rania Jammazi (2009). The effects of crude oil shocks on stock market shifts behaviour: A regime switching approach.
Mohamed Arouri,Shawkat Hammoudeh,Amine Lahiani,Duc Nguyen (2012). Long memory and structural breaks in modeling the return and volatility dynamics of precious metals.
P Balaz,A Londarev (2006). Oil and its position in the process of globalization of the world economy.
S Basher,P Sadorsky (2006). Oil Price Risk and Emerging Stock Markets.
R Bhar,B Nikolova (2009). Oil Prices and Equity Returns in the BRIC Countries.
T Bollerslev (1986). Generalized Autoregressive Conditional Heteroskedasticity.
Tim Bollerslev (1990). Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized Arch Model.
Don Bredin,John Elder,Stilianos Fountas (2011). Oil volatility and the option value of waiting: An analysis of the G-7.
F Chan,C Lim,M Mcaleer (2005). Modelling multivariate international tourism demand and volatility.
Chia-Lin Chang,Michael Mcaleer,Roengchai Tansuchat (2010). Crude oil hedging strategies using dynamic multivariate GARCH.
I.-C Chen,J Coffey,T Mudge (1996). Analysis of Branch Prediction Via Data Compression.
P Clark (1973). A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices.
J Cunado,F Perez De Garcia (2005). Oil prices, economic activity and inflation: evidence for some Asian countries.
Alessandro Cologni,Matteo Manera (2008). Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries.
Robert Engle (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation.
Robert Engle (2002). Dynamic Conditional Correlation.
M Gronwald (2008). Large oil shocks and the US economy: Infrequent incidents with large effects.
S Hammoudeh,E Et Aleisa (2004). Dynamic relationship among GCC stock markets and NYMEX oil futures.
R Jammazi,C Aloui (2010). Wavelet decomposition and regime shifts: Assessing the effects of crude oil shocks on stock market returns.
L Kilian (2008). Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the US Economy?.
Lutz Kilian,Cheolbeom Park (2009). THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET*.
S Lardic,Mignon (2006). The impact of oil prices on GDP in European countries: An empirical investigation based on asymmetric cointegration.
S Lardic,Mignon (2008). Oil prices and economic activity: An asymmetric cointegration approach.
Shiqing Ling,Michael Mcaleer (2003). ASYMPTOTIC THEORY FOR A VECTOR ARMA-GARCH MODEL.
M Mcaleer (2005). Automated inference and learning in modeling financial volatility.
Michael Mcaleer,Felix Chan,Suhejla Hoti,Offer Lieberman (2008). GENERALIZED AUTOREGRESSIVE CONDITIONAL CORRELATION.
J Miller,R Et Ratti (2009). Crude oil and stock markets: Stability, instability, and bubbles.
K Narayan,S Narayan (2007). Modelling oil price volatility.
Wiston Risso (2008). The informational efficiency and the financial crashes.
Babatunde Odusami (2009). Crude oil shocks and stock market returns.
Ibrahim Onour (2008). What drives short-term GCC stock market returns? Empirical evidence from fat-tailed distribution.
Evangelia Papapetrou (2001). Oil price shocks, stock market, economic activity and employment in Greece.
Stephen Ross (1989). Information and Volatility: The No-Arbitrage Martingale Approach to Timing and Resolution Irrelevancy.
A Sklar (1959). Fonctions de répartition à n dimensions et leurs marges.
George Tauchen,Mark Pitts (1983). The Price Variability-Volume Relationship on Speculative Markets.
Bashar Zarour (2006). Wild oil prices, but brave stock markets! The case of GCC stock markets.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Jaghoubi Salma. 2015. \u201cCrude Oil Price Uncertainty and Stock Markets in Gulf Corporation Countries: A Var-Garch Copula Model\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 15 (GJMBR Volume 15 Issue C10): .

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GJMBR Volume 15 Issue C10
Pg. 29- 38

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Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

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Classification

GJMBR-C Classification: JEL Code: B13

Submission ReceivedFebruary 5, 2015
Peer Review Double Blind
Handling Editor
Accepted March 2, 2015
Published March 15, 2015

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v1.2

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November 28, 2015

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Article Matrices

Total Score: 121

Country: Saudi Arabia

Subject: Global Journal of Management and Business Research - C: Finance

Authors: Jaghoubi Salma (PhD/Dr. count: 0)

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