Geopolitical risk;
Transmission mechanisms;
Energy returns;
Energy volatility;
CRUDE-OIL;
D O I:
10.1016/j.irfa.2024.103363
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
In this paper, we investigate the transmission mechanisms of the impacts of geopolitical risk on energy (crude oil, natural gas, heating oil) returns and volatility from June 28, 1990, to January 6, 2020, by using a quantile regression model. The results show that under the supply and demand channel, geopolitical risk increases energy returns and decreases energy volatility in different market conditions. Under the uncertainty channel, geopolitical risk increases or decreases energy returns in various market conditions through economic policy uncertainty and market uncertainty and reduces energy volatility. Under the financial market channel, geopolitical risk reduces natural gas returns through the interest rate, decreases energy returns through the exchange rate and raises energy returns through gold in different market conditions. For energy volatility, geopolitical risk increases natural gas volatility through the interest rate and reduces energy volatility through the exchange rate across market conditions, while gold has little transmission effect. Our findings can help policymakers formulate corresponding policies to hedge against the adverse effects of geopolitical risk and maintain the stability of the energy market.
机构:
Univ Toronto, Copenhagen Business Sch, Rotman Sch Management, 105 St George St, Toronto, ON M5S 3E6, Canada
CREATES, 105 St George St, Toronto, ON M5S 3E6, CanadaUniv Toronto, Copenhagen Business Sch, Rotman Sch Management, 105 St George St, Toronto, ON M5S 3E6, Canada
Christoffersen, Peter
Pan, Xuhui
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机构:
Tulane Univ, Freeman Sch Business, 7 McAlister Dr, New Orleans, LA 70118 USAUniv Toronto, Copenhagen Business Sch, Rotman Sch Management, 105 St George St, Toronto, ON M5S 3E6, Canada
机构:
Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 6111731, Peoples R ChinaUniv Elect Sci & Technol China, Sch Math Sci, Chengdu 6111731, Peoples R China
Jiao, Jing-Wen
Yin, Jun-Ping
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机构:
Inst Appl Phys & Computat Math, Beijing 100094, Peoples R China
Shanghai Zhangjiang Inst Math, Shanghai 201203, Peoples R ChinaUniv Elect Sci & Technol China, Sch Math Sci, Chengdu 6111731, Peoples R China
Yin, Jun-Ping
Xu, Ping-Feng
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机构:
Shanghai Zhangjiang Inst Math, Shanghai 201203, Peoples R China
Northeast Normal Univ, Acad Adv Interdisciplinary Studies, Changchun 130024, Peoples R ChinaUniv Elect Sci & Technol China, Sch Math Sci, Chengdu 6111731, Peoples R China
Xu, Ping-Feng
Zhang, Juan
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h-index: 0
机构:
Shanghai Zhangjiang Inst Math, Shanghai 201203, Peoples R China
Beihang Univ, Inst Artificial Intelligence, Beijing 100191, Peoples R China
Zhongguancun Lab, Beijing 100094, Peoples R ChinaUniv Elect Sci & Technol China, Sch Math Sci, Chengdu 6111731, Peoples R China
Zhang, Juan
Liu, Yuan
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h-index: 0
机构:
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R ChinaUniv Elect Sci & Technol China, Sch Math Sci, Chengdu 6111731, Peoples R China