Outlook of Oil Prices and Volatility from 1970 to 2040 Through Global Energy Mix-Security from Production to Reserves: A Nonparametric Causality-in-Quantiles Approach

A. Alola, O. Adekoya, J. Oliyide
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引用次数: 8

Abstract

In the midst of the global challenge of climate change induced by the consumption of fossil fuels, energy security remains a global concern. Thus, this study examines the role of energy security from the witty perspective of the production and reserves of the world’s leading energy mix (oil, natural gas, and coal) in the dynamics of global crude oil prices and volatility over the period of 1970 to 2040. Having discovered a nonlinear dynamics in the relationship, we employ the nonparametric causality-in-quantiles test which differentiates causality-in-mean from the causality-in-variance. The results show that the causality-in-variance is exceedingly stronger than causality-in-mean for the predictability of oil price. The mean oil price is unpredictable by the production and reserves of the energy sources, except those of crude oil and natural gas at the lower quantiles. Moreover, the production and reserves of all the energy sources are strong predictors of the volatility of oil price for most of the quantiles. This is further confirmed by the causality-in-mean conducted for the actual oil price volatility series. In general, this study weighs in from the perspective of an effective policy instrument associated with the trilemma among crude oil price, energy security, and environmental sustainability.
从生产到储量的全球能源混合安全展望1970 - 2040年的油价和波动性:一种非参数分位数因果关系方法
在化石燃料消费导致气候变化的全球挑战中,能源安全仍然是全球关注的问题。因此,本研究从世界主要能源组合(石油、天然气和煤炭)的生产和储量的诙谐角度考察了能源安全在1970年至2040年期间全球原油价格和波动动态中的作用。在发现了关系中的非线性动力学之后,我们采用了非参数分位数因果检验,该检验区分了均值因果和方差因果。结果表明,对于石油价格的可预测性,方差因果关系比均值因果关系强得多。除了原油和天然气在较低的分位数外,平均油价是由能源的产量和储量所无法预测的。此外,在大多数分位数中,所有能源的产量和储量都是油价波动的有力预测指标。对实际油价波动序列进行的均值因果关系进一步证实了这一点。总的来说,本研究从一个有效的政策工具的角度来权衡原油价格、能源安全和环境可持续性的三难困境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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