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地缘政治风险与能源及其他战略商品间的极端风险关联:基于高维CoVaR模型的新视角

Geopolitical Risk and Extreme Risk Connectedness Among Energy and Other Strategic Commodities: Fresh Sight Using the High‐Dimensional CoVaR Model

Journal of Futures Markets · 2024
被引 10
人大 BABS 3

中文导读

研究了地缘政治风险如何驱动能源和战略商品市场的尾部风险溢出网络,发现金属和食品是净风险传递者,能源是净风险接收者,且地缘政治风险会削弱下尾关联、增强上尾关联,并改进最小关联投资组合的效果。

Abstract

ABSTRACT Existing studies on commodity market risk spillovers recognize the pivotal role of geopolitical risk (GPR), but scarcely address how it drives tail risk spillover networks. This study adopts the Tail‐Event driven NETwork methodology to explore high‐dimensional Conditional Value at Risk (CoVaR) spillovers within energy and other strategic commodity markets. Our findings indicate that (1) In both lower and upper tail networks, metal and food commodities primarily act as net risk transmitters, whereas energy commodities are mainly net risk receivers. Additionally, these roles undergo short‐term reversals during periods of heightened market uncertainty. (2) There exists an asymmetrical pattern of CoVaR co‐movements in these commodity markets. The total connectedness (TC) in both the upper and lower tails demonstrates distinct responses to various extreme events. GPR tends to weaken the lower tail TC and strengthen the upper tail. (3) Incorporating GPR substantially improves the effectiveness of Minimum Connectedness Portfolio (MCoP) for these strategic commodities.

地缘政治风险商品市场极端风险风险溢出投资组合