Volatility Modeling of the Impact of Geopolitical Risk on Commodity Markets

This study analyses the impact of the Geopolitical Risk Index (GPR) on the volatility of commodity futures returns from 4 January 2010 to 30 June 2023, using Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) models. It expands the research scope to include precious metals, agricultural products, energy, and industrial metals. The study differentiates between the impacts of geopolitical threat events and actions using GPRACT and GPRTHREAT indicators. Findings reveal that negative geopolitical shocks increase commodity returns’ volatility more than positive shocks. Specifically, gold, silver, and natural gas are negatively affected, while wheat, corn, soybeans, cotton, zinc, nickel, lead, WTI oil, and Brent oil experience positive effects. Platinum, cocoa, coffee, and copper show no significant impact. These insights highlight the importance of geopolitical risks on commodity market volatility and returns, aiding in risk management and portfolio diversification. Policymakers, financial market stakeholders, and investors can leverage these findings to better understand the GPR’s relationship with commodity markets and develop effective strategies.

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Publication Details

Journal
Economies
Published
2025-03-26
DOI
https://doi.org/10.3390/economies13040088
Citations
8
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
25.05
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article

Volatility Modeling of the Impact of Geopolitical Risk on Commodity Markets

Letife Özdemir, Ercan Özen, Simon Grima, Beata Śwıecka et al.
8 citations
Economies
Market Dynamics and Volatility
25.05
article

Volatility Modeling of the Impact of Geopolitical Risk on Commodity Markets

Letife Özdemir, Ercan Özen, Simon Grima, Beata Śwıecka, N. Serap VURUR
article en
8 citations

Abstract

This study analyses the impact of the Geopolitical Risk Index (GPR) on the volatility of commodity futures returns from 4 January 2010 to 30 June 2023, using Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) models. It expands the research scope to include precious metals, agricultural products, energy, and industrial metals. The study differentiates between the impacts of geopolitical threat events and actions using GPRACT and GPRTHREAT indicators. Findings reveal that negative geopolitical shocks increase commodity returns’ volatility more than positive shocks. Specifically, gold, silver, and natural gas are negatively affected, while wheat, corn, soybeans, cotton, zinc, nickel, lead, WTI oil, and Brent oil experience positive effects. Platinum, cocoa, coffee, and copper show no significant impact. These insights highlight the importance of geopolitical risks on commodity market volatility and returns, aiding in risk management and portfolio diversification. Policymakers, financial market stakeholders, and investors can leverage these findings to better understand the GPR’s relationship with commodity markets and develop effective strategies.

EconomiesVol. 13(4)
University of Szczecin (PL), University of Malta (MT), Usak University (TR), Afyon Kocatepe University (TR), University of Latvia (LV)
Openalex Percentile: Top 1%
Market Dynamics and Volatility
25.05
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Volatility Modeling of the Impact of Geopolitical Risk on Commodity Markets — Letife Özdemir, Ercan Özen, et al. · Economies (2025) | TGRS Research Map | TGRS