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Does oil spin the commodity wheel? Quantile connectedness with a common factor error structure across energy and agricultural markets

Does oil spin the commodity wheel? Quantile connectedness with a common factor error structure across energy and agricultural markets
Does oil spin the commodity wheel? Quantile connectedness with a common factor error structure across energy and agricultural markets
Should investors and policy makers in agricultural markets consider oil market’s incontestable impact on portfolio risk management? This paper investigates the time-varying market linkages between energy and agricultural commodities in the presence of two important exogenous shocks, viz., the COVID-19 pandemic and the subsequent 2022 Russia–Ukraine military conflict. We use a novel time-varying parameter vector autoregressive model with a common factor error structure to estimate the tail connectedness between energy and agricultural commodities for the period December 31, 2019 to December 18, 2023. Our findings provide clear evidence of asymmetry in the volatility evolution. We determine that volatility spillover magnitudes are much stronger across quantiles than at the mean. We note that crude oil is the main transmitter of shocks in the system before the onset of the 2022 Russia-Ukraine conflict at the lower tail of the distribution. While crude oil and natural gas transmit volatility in both pre- and post-conflict announcement periods. Furthermore, the 2022 Russia–Ukraine conflict is found to impact the transmission of volatility between energy and agricultural commodities. Numerous agricultural commodities are observed to shift their position from transmitters to receivers of volatility, and vice versa, due to the military conflict in Ukraine. Our causality results depict time-varying patterns in the connectedness between crude oil and other commodities. We determine that crude oil has varying impact on agricultural markets in pre- and post-conflict announcement periods. Commodities for which both conflicting countries are major world exports of, such as wheat, have notably increased their dependency on crude oil. Thus, we advise investors and policymakers in agricultural markets to seriously consider oil market’s impact on portfolio risk management and monitoring policies.
2022 Russia-Ukraine conflict, Agricultural markets, COVID-19, Crude oil, Quantile Connectedness, Quantile connectedness
0140-9883
Zhou, Xiaoran
11ecf072-b0fe-4525-8490-8a70ae0135b9
Enilov, Martin
a33a63d6-b26a-4ab5-88bb-d92151983cde
Parhi, Mamata
f86b429a-a200-44a6-949d-dcafbc1827a7
Zhou, Xiaoran
11ecf072-b0fe-4525-8490-8a70ae0135b9
Enilov, Martin
a33a63d6-b26a-4ab5-88bb-d92151983cde
Parhi, Mamata
f86b429a-a200-44a6-949d-dcafbc1827a7

Zhou, Xiaoran, Enilov, Martin and Parhi, Mamata (2024) Does oil spin the commodity wheel? Quantile connectedness with a common factor error structure across energy and agricultural markets. Energy Economics, 132, [107468]. (doi:10.1016/j.eneco.2024.107468).

Record type: Article

Abstract

Should investors and policy makers in agricultural markets consider oil market’s incontestable impact on portfolio risk management? This paper investigates the time-varying market linkages between energy and agricultural commodities in the presence of two important exogenous shocks, viz., the COVID-19 pandemic and the subsequent 2022 Russia–Ukraine military conflict. We use a novel time-varying parameter vector autoregressive model with a common factor error structure to estimate the tail connectedness between energy and agricultural commodities for the period December 31, 2019 to December 18, 2023. Our findings provide clear evidence of asymmetry in the volatility evolution. We determine that volatility spillover magnitudes are much stronger across quantiles than at the mean. We note that crude oil is the main transmitter of shocks in the system before the onset of the 2022 Russia-Ukraine conflict at the lower tail of the distribution. While crude oil and natural gas transmit volatility in both pre- and post-conflict announcement periods. Furthermore, the 2022 Russia–Ukraine conflict is found to impact the transmission of volatility between energy and agricultural commodities. Numerous agricultural commodities are observed to shift their position from transmitters to receivers of volatility, and vice versa, due to the military conflict in Ukraine. Our causality results depict time-varying patterns in the connectedness between crude oil and other commodities. We determine that crude oil has varying impact on agricultural markets in pre- and post-conflict announcement periods. Commodities for which both conflicting countries are major world exports of, such as wheat, have notably increased their dependency on crude oil. Thus, we advise investors and policymakers in agricultural markets to seriously consider oil market’s impact on portfolio risk management and monitoring policies.

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Accepted/In Press date: 6 March 2024
e-pub ahead of print date: 15 March 2024
Published date: April 2024
Additional Information: Publisher Copyright: © 2024 The Author(s)
Keywords: 2022 Russia-Ukraine conflict, Agricultural markets, COVID-19, Crude oil, Quantile Connectedness, Quantile connectedness

Identifiers

Local EPrints ID: 488225
URI: http://eprints.soton.ac.uk/id/eprint/488225
ISSN: 0140-9883
PURE UUID: 64d3d3b1-d4f2-4300-bb9f-04879f2b4e6d
ORCID for Martin Enilov: ORCID iD orcid.org/0000-0002-7671-6975

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Date deposited: 18 Mar 2024 18:00
Last modified: 02 May 2024 02:01

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Contributors

Author: Xiaoran Zhou
Author: Martin Enilov ORCID iD
Author: Mamata Parhi

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