The Shale Revolution, Geopolitical Risk, and Oil Price Volatility

Wenxue Wang, Fuyu Yang
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引用次数: 10

Abstract

The U.S. shale revolution, using new technologies to extract crude oil, has led to new dynamics in the supply side of the global oil market. We ask whether the shale revolution has dampened the role of geopolitical risk in oil price volatility. We extend a reduced form Structural Break Threshold Vector Autoregressive (SBT-VAR) model to a structural SBT-VAR model and identify the structural innovations by allowing for conditional heteroskedasticity. Compared with the conventional reduced form VAR and TVAR models, a SBT-VAR with a constant threshold and a break in April 2014 are supported by the data. We then analyse the conditional (co)variance impulse response with respect to two distinct shock scenarios, one with only a geopolitical risk shock, the other with a simultaneous shale production shock and a geopolitical risk shock. The volatility responses are due to the identified contemporaneous relationships amongst geopolitical risk, shale production and oil prices, and are conditional on volatilities at the points in time. With the extra unit shale production shock, we find that the volatility response of oil prices to a geopolitical risk shock is higher, but the response is less correlated with the geopolitical risk factor.
页岩革命、地缘政治风险和油价波动
美国页岩革命利用新技术开采原油,为全球石油市场的供应带来了新的动力。我们的问题是,页岩革命是否削弱了地缘政治风险在油价波动中的作用。我们将简化形式的结构断裂阈值向量自回归(SBT-VAR)模型扩展到结构SBT-VAR模型,并通过允许条件异方差来识别结构创新。与传统的简化形式VAR和TVAR模型相比,数据支持阈值不变且在2014年4月出现断裂的SBT-VAR模型。然后,我们分析了两种不同冲击情景下的条件(co)方差脉冲响应,一种只有地缘政治风险冲击,另一种同时有页岩生产冲击和地缘政治风险冲击。波动性响应是由于地缘政治风险、页岩油产量和油价之间确定的同时关系,并以时间点的波动性为条件。在页岩产量额外冲击下,我们发现油价对地缘政治风险冲击的波动性响应更高,但与地缘政治风险因素的相关性较小。
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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