This paper examines the dynamic nonlinear effects of the Geopolitical Risk (GPR) on commodities using quantile methods. Our rolling window quantile estimations show that non-energy sectors, such as food and beverage, are not easily influenced by geopolitical events, while energy sectors can be easily affected. The recent COVID-19 pandemic has no strong effects on these relationships. Quantile-on-quantile results demonstrate that the magnitude of the co-movement of GPR and non-energy sectors is very small, whereas the magnitude of the co-movement of GPR associated with the energy sector is larger. Additionally, during bullish markets, GPR can exert positive effects on commodity markets. However, under other market conditions, negative effects are apparent. Finally, we use a nonparametric causality-in-quantiles test to provide fresh evidence of the explanatory power of GPR on commodity markets.
机构:
Yunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Yunnan, Peoples R ChinaYunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Yunnan, Peoples R China
Lai, Fujun
Xiong, Deping
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Yunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Yunnan, Peoples R ChinaYunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Yunnan, Peoples R China
Xiong, Deping
Zhu, Sha
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Yunnan Univ Finance & Econ, Sch Stat & Math, Kunming 650221, Peoples R ChinaYunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Yunnan, Peoples R China
Zhu, Sha
Li, Yunzhong
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Peking Univ, Sch Math Sci, Natl Engn Lab Big Data Anal & Applicat, Beijing 100871, Peoples R China
Peking Univ, Changsha Inst Comp & Digital Econ, Beijing 100871, Peoples R ChinaYunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Yunnan, Peoples R China
Li, Yunzhong
Tan, Yanzhi
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Xiangtan Univ, Business Sch, Xiangtan 411105, Peoples R ChinaYunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Yunnan, Peoples R China
机构:
Southwestern Univ Finance & Econ, Inst Dev Studies, Chengdu, Peoples R ChinaSouthwestern Univ Finance & Econ, Inst Dev Studies, Chengdu, Peoples R China