Tail Risk Transmission in Agricultural and Energy Markets
Open Access
- 17 September 2026
- journal article
- Published by Wiley in Journal of Futures Markets
- Vol. 46 (12) , 1891-1911
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.Keywords
This publication has 42 references indexed in Scilit:
- Dynamic Returns Connectedness: Portfolio Hedging Implications During the COVID‐19 Pandemic and the Russia–Ukraine WarJournal of Futures Markets, 2024
- Financialization of commodity markets: New evidence from temporal and spatial domainsJournal of Futures Markets, 2024
- A good hedge or safe haven? The hedging ability of China's commodity futures market under extreme market conditionsJournal of Futures Markets, 2023
- Commodity network and predictable returnsJournal of Futures Markets, 2023
- Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approachJournal of Futures Markets, 2023
- Wisdom of crowds and commodity pricingJournal of Futures Markets, 2023
- COVID‐19 and tail risk contagion across commodity futures marketsJournal of Futures Markets, 2022
- Time‐varying pure contagion effect between energy and nonenergy commodity marketsJournal of Futures Markets, 2022
- Estimating the connectedness of commodity futures using a network approachJournal of Futures Markets, 2019
- Crude Oil and Agricultural Futures: An Analysis of Correlation DynamicsJournal of Futures Markets, 2016