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Quantile and Time–Frequency Risk Spillover Between Climate Policy Uncertainty and Grains Commodity Markets

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  • Hongjun Zeng
  • Mohammad Zoynul Abedin
  • Abdullahi D. Ahmed
  • Brian Lucey

Abstract

This paper aims to study the dynamic risk connection between the Climate Policy Uncertainty Index (CPU) of the United States and the grain commodity market. Our findings denote that (a) quantile spillover is stronger at extreme than median levels, underscoring the value of systematic risk spillovers in extreme market conditions. (b) Wavelet coherence analysis proposes that the structure of the CPU connection with the grain commodity market is heterogeneous at time–frequency scales. (c) Under conditions of market stability, CPU's capability to predict risks in the most segmented grain commodity markets was not as pronounced as in extreme market scenarios. (d) The spillovers between CPU and major grain commodities under diverse quantile states were significantly influenced by climate change. Results from this paper have practical implications for investors managing climate‐related risk exposures and will also assist policymakers in developing countries to develop a sensible policy package.

Suggested Citation

  • Hongjun Zeng & Mohammad Zoynul Abedin & Abdullahi D. Ahmed & Brian Lucey, 2025. "Quantile and Time–Frequency Risk Spillover Between Climate Policy Uncertainty and Grains Commodity Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(6), pages 659-682, June.
    • Handle: RePEc:wly:jfutmk:v:45:y:2025:i:6:p:659-682
    DOI: 10.1002/fut.22583
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    as
    1. Kang, Sang Hoon & Yoon, Seong-Min, 2016. "Dynamic spillovers between Shanghai and London nonferrous metal futures markets," Finance Research Letters, Elsevier, vol. 19(C), pages 181-188.
    2. Michael J. Roberts & Wolfram Schlenker, 2013. "Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate," American Economic Review, American Economic Association, vol. 103(6), pages 2265-2295, October.
    3. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    4. Angelo C. Gurgel & John Reilly & Elodie Blanc, 2021. "Challenges in simulating economic effects of climate change on global agricultural markets," Climatic Change, Springer, vol. 166(3), pages 1-21, June.
    5. Zhang, Hongwei & Jin, Chen & Bouri, Elie & Gao, Wang & Xu, Yahua, 2023. "Realized higher-order moments spillovers between commodity and stock markets: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 30(C).
    6. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Teplova, Tamara, 2022. "Does geopolitical risk matter for global asset returns? Evidence from quantile-on-quantile regression," Finance Research Letters, Elsevier, vol. 48(C).
    7. Khanh Hoang, 2022. "How does corporate R&D investment respond to climate policy uncertainty? Evidence from heavy emitter firms in the United States," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 936-949, July.
    8. Alexander A. Golub & Sabine Fuss & Ruben Lubowski & Jake Hiller & Nikolay Khabarov & Nicolas Koch & Andrey Krasovskii & Florian Kraxner & Timothy Laing & Michael Obersteiner & Charles Palmer & Pedro P, 2018. "Escaping the climate policy uncertainty trap: options contracts for REDD+," Climate Policy, Taylor & Francis Journals, vol. 18(10), pages 1227-1234, November.
    9. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    10. Al-Yahyaee, Khamis Hamed & Rehman, Mobeen Ur & Wanas Al-Jarrah, Idries Mohammad & Mensi, Walid & Vo, Xuan Vinh, 2020. "Co-movements and spillovers between prices of precious metals and non-ferrous metals: A multiscale analysis," Resources Policy, Elsevier, vol. 67(C).
    11. Toan Luu Duc Huynh, 2019. "Spillover Risks on Cryptocurrency Markets: A Look from VAR-SVAR Granger Causality and Student’s-t Copulas," JRFM, MDPI, vol. 12(2), pages 1-19, April.
    12. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    13. Liu, Guangqiang & Luo, Keyu & Xu, Pengfei & Zhang, Simeng, 2023. "Climate policy uncertainty and its impact on major grain futures," Finance Research Letters, Elsevier, vol. 58(PB).
    14. Naeem, Muhammad Abubakr & Hamouda, Foued & Karim, Sitara, 2024. "Tail risk spillover effects in commodity markets: A comparative study of crisis periods," Journal of Commodity Markets, Elsevier, vol. 33(C).
    15. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    16. Wang, Kai-Hua & Kan, Jia-Min & Qiu, Lianhong & Xu, Shulin, 2023. "Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 256-272.
    17. Urom, Christian & Abid, Ilyes & Guesmi, Khaled & Chevallier, Julien, 2020. "Quantile spillovers and dependence between Bitcoin, equities and strategic commodities," Economic Modelling, Elsevier, vol. 93(C), pages 230-258.
    18. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
    19. Marchese, Malvina & Kyriakou, Ioannis & Tamvakis, Michael & Di Iorio, Francesca, 2020. "Forecasting crude oil and refined products volatilities and correlations: New evidence from fractionally integrated multivariate GARCH models," Energy Economics, Elsevier, vol. 88(C).
    20. Mallick, Hrushikesh & Padhan, Hemachandra & Mahalik, Mantu Kumar, 2019. "Does skewed pattern of income distribution matter for the environmental quality? Evidence from selected BRICS economies with an application of Quantile-on-Quantile regression (QQR) approach," Energy Policy, Elsevier, vol. 129(C), pages 120-131.
    21. Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
    22. Jill E. Hobbs, 2020. "Food supply chains during the COVID‐19 pandemic," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(2), pages 171-176, June.
    23. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan & Plakandaras, Vasilios, 2018. "Dynamic connectedness of uncertainty across developed economies: A time-varying approach," Economics Letters, Elsevier, vol. 166(C), pages 63-75.
    24. Zouhaier Dhifaoui & Rabeh Khalfaoui & Sami Ben Jabeur & Mohammad Zoynul Abedin, 2023. "Exploring the effect of climate risk on agricultural and food stock prices: Fresh evidence from EMD-Based variable-lag transfer entropy analysis," Post-Print hal-03998224, HAL.
    25. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.
    26. Bouri, Elie & Iqbal, Najaf & Klein, Tony, 2022. "Climate policy uncertainty and the price dynamics of green and brown energy stocks," Finance Research Letters, Elsevier, vol. 47(PB).
    27. Anthony N. Rezitis, 2015. "Empirical Analysis of Agricultural Commodity Prices, Crude Oil Prices and US Dollar Exchange Rates using Panel Data Econometric Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 851-868.
    28. Dastgir, Shabbir & Demir, Ender & Downing, Gareth & Gozgor, Giray & Lau, Chi Keung Marco, 2019. "The causal relationship between Bitcoin attention and Bitcoin returns: Evidence from the Copula-based Granger causality test," Finance Research Letters, Elsevier, vol. 28(C), pages 160-164.
    29. Hongjun Zeng & Abdullahi D. Ahmed & Ran Lu, 2024. "The Bitcoin‐agricultural commodities nexus: Fresh insight from COVID‐19 and 2022 Russia–Ukraine war," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 68(3), pages 653-677, July.
    30. Hansen, James & Hellin, Jon & Rosenstock, Todd & Fisher, Eleanor & Cairns, Jill & Stirling, Clare & Lamanna, Christine & van Etten, Jacob & Rose, Alison & Campbell, Bruce, 2019. "Climate risk management and rural poverty reduction," Agricultural Systems, Elsevier, vol. 172(C), pages 28-46.
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