Tail Risk Transmission in Agricultural and Energy Markets

ABSTRACT This paper examines downside hedging, tail diversification, and extreme tail risk transmission between crude oil and agricultural commodity futures over two decades. We develop complementary indicators of downside dependence, including sign‐switching frequency and persistence, to assess tail risk dynamics, hedging effectiveness, and associated costs. Unlike conventional network measures, these indicators capture the stability and duration of adverse market relationships. Using the extreme downside correlation (EDC) and extreme downside hedge (EDH) frameworks, together with rolling‐window CVaR‐based regressions and correlation estimates, we analyse the sensitivity of agricultural futures to adverse shocks from crude oil, natural gas, and a broad commodity market index. Results show that tail risk transmission intensifies during periods of financial and geopolitical stress. Among agricultural commodities, lean hogs, soybeans, and corn consistently exhibit strong downside hedging capabilities and tail diversification benefits, highlighting their value for portfolio risk management under extreme market conditions.

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Publication Details

Journal
Journal of Futures Markets
Published
2026-09-17
DOI
https://doi.org/10.1002/fut.70141
Primary Topic
Market Dynamics and Volatility
Type
article
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article

Tail Risk Transmission in Agricultural and Energy Markets

Luigi Grossi, Daniel Felix Ahelegbey, Emmanuel Senyo Fianu, Roberto Casarin
Journal of Futures Markets
Market Dynamics and Volatility
article

Tail Risk Transmission in Agricultural and Energy Markets

Luigi Grossi, Daniel Felix Ahelegbey, Emmanuel Senyo Fianu, Roberto Casarin
article en

Abstract

ABSTRACT This paper examines downside hedging, tail diversification, and extreme tail risk transmission between crude oil and agricultural commodity futures over two decades. We develop complementary indicators of downside dependence, including sign‐switching frequency and persistence, to assess tail risk dynamics, hedging effectiveness, and associated costs. Unlike conventional network measures, these indicators capture the stability and duration of adverse market relationships. Using the extreme downside correlation (EDC) and extreme downside hedge (EDH) frameworks, together with rolling‐window CVaR‐based regressions and correlation estimates, we analyse the sensitivity of agricultural futures to adverse shocks from crude oil, natural gas, and a broad commodity market index. Results show that tail risk transmission intensifies during periods of financial and geopolitical stress. Among agricultural commodities, lean hogs, soybeans, and corn consistently exhibit strong downside hedging capabilities and tail diversification benefits, highlighting their value for portfolio risk management under extreme market conditions.

Journal of Futures Markets
University of Essex (GB), University of Parma (IT), Ca' Foscari University of Venice (IT), De Montfort University (GB)
Zero hunger
Openalex Percentile: Top 5%
Market Dynamics and Volatility
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Tail Risk Transmission in Agricultural and Energy Markets — Luigi Grossi, Daniel Felix Ahelegbey, et al. · Journal of Futures Markets (2026) | TGRS Research Map | TGRS