Co-movement between oil price, CO2 emission,renewable energy and energy equities: Evidence from GCC countries

被引:53
作者
Alkathery, Mohammed A. [1 ]
Chaudhuri, Kausik [2 ]
机构
[1] Training & Scholarships Gen Dept, Riyadh, Saudi Arabia
[2] Univ Leeds, Business Sch, Woodhouse Lane, Leeds LS2 9JT, W Yorkshire, England
关键词
Multivariate GARCH models; GCC; Renewable energy; Forecasting; RENEWABLE ENERGY; CLEAN ENERGY; ECONOMIC-GROWTH; STOCK-PRICES; CRUDE-OIL; VOLATILITY SPILLOVERS; CARBON EMISSIONS; EUROPEAN-UNION; DYNAMIC CORRELATION; COMPANIES EVIDENCE;
D O I
10.1016/j.jenvman.2021.113350
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Using the data from GCC countries, this paper analyses the co-movement between oil price, EU carbon allowance prices, global clean energy index and equity index from three GCC counties, namely, Kuwait, Saudi Arabia and the United Arab Emirates. Almost no previous research has investigated the dynamic interrelations in the conventional energy markets, like those of the GCC countries, against the dramatic growth in clean energy production and the new emissions trading schemes. Employing three different multivariate GARCH models, we document the existence of volatility spillover effects and co-movement among global clean energy production, crude oil price, CO2 emission price and each of the three GCC energy stock markets. Furthermore, we found that the conditional variances of all return series are influenced by the shocks coming from the markets themselves. Volatilities in all the markets under consideration are highly persistent, and the long-run persistent volatilities are more pronounced especially for oil and CO2 emission prices. The forecasting exercise demonstrates the superior performance of the multivariate diagonal-BEKK GARCH models.
引用
收藏
页数:14
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