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Analysing a frequency and quantile connectedness spillover dynamics nexus: Metals, grains, and energy markets under economic signals

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  • Padhan, Hemachandra
  • Kocoglu, Mustafa

Abstract

In this study, we examine the impact of global economic indicators on connectedness spillovers among energy, metal, and grain commodity markets. Global economic indicators directly create a transmission channel to commodity markets by reflecting financial and trade fluctuations worldwide. Especially in tail regions, basic commodities such as energy, metal, and grain are affected by economic uncertainties, oil supply-demand, and economic policy uncertainty shocks. In particular, Copper emerges as the main net transmitter of shocks in both short- and long-term periods, while oil and gas prices are net shock receivers in the median and extreme right tail regions. This finding strengthens the narrative of the demand-side mechanism of oil prices. On the other hand, Copper and Nickel are clear shock transmitters in tail regions. These results emphasize the interconnectedness of commodity markets and the importance of short-term dynamics in shaping market behavior during downturns and upturns in market conditions. However, economic policy uncertainty significantly attenuates spillover connectedness across energy, metal, and grain commodity markets during periods of heightened complexity. This indicates that EPU disrupts cross-market linkages, leading to desynchronization in price transmissions. Conversely, the Baltic Dry Index and oil prices amplify spillover effects, reinforcing market integration through global demand channels. This finding strikingly indicates that energy, metal, and grain market interconnectedness increases, driven by global aggregate demand. In this context, our study supports the demand-side transmission narrative and provides evidence that economic policy uncertainty does not create momentum among connectedness spillover among energy, metal, and grain commodity markets.

Suggested Citation

  • Padhan, Hemachandra & Kocoglu, Mustafa, 2025. "Analysing a frequency and quantile connectedness spillover dynamics nexus: Metals, grains, and energy markets under economic signals," Energy Economics, Elsevier, vol. 147(C).
  • Handle: RePEc:eee:eneeco:v:147:y:2025:i:c:s0140988325004049
    DOI: 10.1016/j.eneco.2025.108580
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    1. Alizadeh, Amir H. & Nomikos, Nikos K., 2004. "Cost of carry, causality and arbitrage between oil futures and tanker freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(4), pages 297-316, July.
    2. Joëts, Marc & Mignon, Valérie & Razafindrabe, Tovonony, 2017. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 313-326.
    3. Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Ji, Qiang, 2020. "Copula-based local dependence among energy, agriculture and metal commodities markets," Energy, Elsevier, vol. 202(C).
    4. Fan, Ying & Xu, Jin-Hua, 2011. "What has driven oil prices since 2000? A structural change perspective," Energy Economics, Elsevier, vol. 33(6), pages 1082-1094.
    5. W. Driehuis, 1970. "An econometric analysis of liner freight rates," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 104(1), pages 96-119, March.
    6. Ströbel, Johannes & Wurgler, Jeffrey, 2021. "What do you think about climate finance?," CEPR Discussion Papers 16622, C.E.P.R. Discussion Papers.
    7. Xiaolin Sun & Hailong Liu & Shiyuan Zheng & Shun Chen, 2018. "Combination hedging strategies for crude oil and dry bulk freight rates on the impacts of dynamic cross-market interaction," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(2), pages 174-196, February.
    8. Scott R Baker & Nicholas Bloom & Stephen J Terry, 2024. "Using Disasters to Estimate the Impact of Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 720-747.
    9. Tiwari, Aviral Kumar & Nasreen, Samia & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2020. "Time-frequency causality and connectedness between international prices of energy, food, industry, agriculture and metals," Energy Economics, Elsevier, vol. 85(C).
    10. Farid, Saqib & Naeem, Muhammad Abubakr & Paltrinieri, Andrea & Nepal, Rabindra, 2022. "Impact of COVID-19 on the quantile connectedness between energy, metals and agriculture commodities," Energy Economics, Elsevier, vol. 109(C).
    11. Fotis Papailias & Dimitrios D. Thomakos & Jiadong Liu, 2017. "The Baltic Dry Index: cyclicalities, forecasting and hedging strategies," Empirical Economics, Springer, vol. 52(1), pages 255-282, February.
    12. Khalfaoui, Rabeh & Shahzad, Umer & Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2023. "Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 63-80.
    13. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Modeling fluctuations in the global demand for commodities," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 54-78.
    14. Clark, Ximena & Dollar, David & Micco, Alejandro, 2004. "Port efficiency, maritime transport costs, and bilateral trade," Journal of Development Economics, Elsevier, vol. 75(2), pages 417-450, December.
    15. Stiassny, Alfred, 1996. "A Spectral Decomposition for Structural VAR Models," Empirical Economics, Springer, vol. 21(4), pages 535-555.
    16. Abricha, Amal & Ben Amar, Amine & Bellalah, Makram, 2024. "Commodity futures markets under stress and stress-free periods: Further insights from a quantile connectedness approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 229-246.
    17. James Vercammen, 2020. "Information‐rich wheat markets in the early days of COVID‐19," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(2), pages 177-184, June.
    18. Broadstock, David C. & Zhang, Dayong, 2019. "Social-media and intraday stock returns: The pricing power of sentiment," Finance Research Letters, Elsevier, vol. 30(C), pages 116-123.
    19. Gazzani, Andrea & Venditti, Fabrizio & Veronese, Giovanni, 2024. "Oil price shocks in real time," Journal of Monetary Economics, Elsevier, vol. 144(C).
    20. Bastianin, Andrea & Casoli, Chiara & Galeotti, Marzio, 2023. "The connectedness of Energy Transition Metals," Energy Economics, Elsevier, vol. 128(C).
    21. Choi Sangyup & Yoon Chansik, 2022. "Uncertainty, Financial Markets, and Monetary Policy over the Last Century," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(2), pages 397-434, June.
    22. Andreasson, Pierre & Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2016. "Impact of speculation and economic uncertainty on commodity markets," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 115-127.
    23. Hummels, David & Lugovskyy, Volodymyr & Skiba, Alexandre, 2009. "The trade reducing effects of market power in international shipping," Journal of Development Economics, Elsevier, vol. 89(1), pages 84-97, May.
    24. David Hummels, 2007. "Transportation Costs and International Trade in the Second Era of Globalization," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 131-154, Summer.
    25. Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
    26. 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.
    27. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    28. Costas TH Grammenos & Angelos G Arkoulis, 2002. "Macroeconomic Factors and International Shipping Stock Returns," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 4(1), pages 81-99, March.
    29. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    30. Jialin Yang & Xin Zhang & Ying-En Ge, 2022. "Measuring risk spillover effects on dry bulk shipping market: a value-at-risk approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 49(4), pages 558-576, May.
    31. Lin, Arthur J. & Chang, Hai Yen & Hsiao, Jung Lieh, 2019. "Does the Baltic Dry Index drive volatility spillovers in the commodities, currency, or stock markets?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 265-283.
    32. Ghosh, Bikramaditya & Gubareva, Mariya & Ghosh, Anandita & Paparas, Dimitrios & Vo, Xuan Vinh, 2024. "Food, energy, and water nexus: A study on interconnectedness and trade-offs," Energy Economics, Elsevier, vol. 133(C).
    33. Ghosh, Bikramaditya & Pham, Linh & Teplova, Tamara & Umar, Zaghum, 2023. "COVID-19 and the quantile connectedness between energy and metal markets," Energy Economics, Elsevier, vol. 117(C).
    34. Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Commodity Connectedness," Central Banking, Analysis, and Economic Policies Book Series, in: Enrique G. Mendoza & Ernesto Pastén & Diego Saravia (ed.),Monetary Policy and Global Spillovers: Mechanisms, Effects and Policy Measures, edition 1, volume 25, chapter 4, pages 097-136, Central Bank of Chile.
    35. Urom, Christian & Ndubuisi, Gideon, 2023. "Do geopolitical risks and global market factors influence the dynamic dependence among regional sustainable investments and major commodities?," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 94-111.
    36. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    37. Tripathi, Abhinava & Jha, Ravi Raushan & Vadhava, Charu, 2025. "A critique of the inappropriate interpretation of the quantile connectedness approach by Ando et al. (2022)," Energy Economics, Elsevier, vol. 143(C).
    38. Umar, Zaghum & Nasreen, Samia & Solarin, Sakiru Adebola & Tiwari, Aviral Kumar, 2019. "Exploring the time and frequency domain connectedness of oil prices and metal prices," Resources Policy, Elsevier, vol. 64(C).
    39. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    40. Xiuwen Chen & Xiaolei Sun & Jianping Li, 2020. "How does economic policy uncertainty react to oil price shocks? A multi-scale perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 27(3), pages 188-193, February.
    41. Le, Trung H. & Pham, Linh & Do, Hung X., 2023. "Price risk transmissions in the water-energy-food nexus: Impacts of climate risks and portfolio implications," Energy Economics, Elsevier, vol. 124(C).
    42. Huilian Huang & Tao Xiong, 2023. "A good hedge or safe haven? The hedging ability of China's commodity futures market under extreme market conditions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(7), pages 968-1035, July.
    43. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
    44. 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.
    45. Ni, Guohua & CHERIF, Houda HADJ & Chen, Zhenling, 2024. "Measuring dynamic spillovers between crude oil and grain commodity markets: A comparative analysis of demand and supply shocks," Finance Research Letters, Elsevier, vol. 67(PA).
    46. Philipp Krueger & Zacharias Sautner & Laura T Starks, 2020. "The Importance of Climate Risks for Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1067-1111.
    47. Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Energy commodities, precious metals and industrial metal markets: A nexus across different investment horizons and market conditions," Resources Policy, Elsevier, vol. 70(C).
    48. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Oil price shocks and the return and volatility spillover between industrial and precious metals," Energy Economics, Elsevier, vol. 99(C).
    49. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    50. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    51. Gavriilidis, Konstantinos & Kambouroudis, Dimos S. & Tsakou, Katerina & Tsouknidis, Dimitris A., 2018. "Volatility forecasting across tanker freight rates: The role of oil price shocks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 376-391.
    52. Manolis Kavussanos & Ilias Visvikis & Dimitris Dimitrakopoulos, 2010. "Information linkages between Panamax freight derivatives and commodity derivatives markets," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(1), pages 91-110, March.
    53. 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.
    54. Vangelis Tsioumas & Stratos Papadimitriou, 2018. "The dynamic relationship between freight markets and commodity prices revealed," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 267-279, June.
    55. Matti-Mikael Koskinen & Olli-Pekka Hilmola, 2005. "Investment Cycles in the Newbuilding Market of Ice-Strengthened Oil Tankers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 7(2), pages 173-188, June.
    56. Gabriel Figueiredo de Oliveira, 2014. "Determinants of European freight rates: The role of market power and trade imbalance," Post-Print hal-05244109, HAL.
    57. Lin, Faqin & Sim, Nicholas C.S., 2013. "Trade, income and the Baltic Dry Index," European Economic Review, Elsevier, vol. 59(C), pages 1-18.
    58. Rabeh Khalfaoui & Umer Shahzad & Mahdi Ghaemi Asl & Sami Ben Jabeur, 2023. "Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach," Post-Print hal-03998215, HAL.
    59. Chen, Feier & Miao, Yuqi & Tian, Kang & Ding, Xiaoxu & Li, Tingyi, 2017. "Multifractal cross-correlations between crude oil and tanker freight rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 344-354.
    60. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    61. De Oliveira, Gabriel Figueiredo, 2014. "Determinants of European freight rates: The role of market power and trade imbalance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 23-33.
    62. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    63. Amir Alizadeh & Wayne Talley, 2011. "Microeconomic determinants of dry bulk shipping freight rates and contract times," Transportation, Springer, vol. 38(3), pages 561-579, May.
    64. Marlow, Peter B & Gardner, Bernard, 1980. "Some Thoughts on the Dry Bulk Shipping Sector," Journal of Industrial Economics, Wiley Blackwell, vol. 29(1), pages 71-84, September.
    65. Angela Poulakidas & Fred Joutz, 2009. "Exploring the link between oil prices and tanker rates," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(3), pages 215-233, June.
    66. Kang, Wilson & Perez de Gracia, Fernando & Ratti, Ronald A., 2025. "Stock market volatility and commodity prices," Macroeconomic Dynamics, Cambridge University Press, vol. 29, pages 1-1, January.
    67. Tsouknidis, Dimitris A., 2016. "Dynamic volatility spillovers across shipping freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 90-111.
    68. He, Yanan & Wang, Shouyang & Lai, Kin Keung, 2010. "Global economic activity and crude oil prices: A cointegration analysis," Energy Economics, Elsevier, vol. 32(4), pages 868-876, July.
    69. Alizadeh, Amir H. & Huang, Chih-Yueh & van Dellen, Stefan, 2015. "A regime switching approach for hedging tanker shipping freight rates," Energy Economics, Elsevier, vol. 49(C), pages 44-59.
    70. Sadorsky, Perry, 2014. "Modeling volatility and correlations between emerging market stock prices and the prices of copper, oil and wheat," Energy Economics, Elsevier, vol. 43(C), pages 72-81.
    71. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
    72. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
    73. Luo, Jiawen & Ji, Qiang, 2018. "High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets," Energy Economics, Elsevier, vol. 76(C), pages 424-438.
    74. Umar, Zaghum & Riaz, Yasir & Zaremba, Adam, 2021. "Patterns of Spillover in Energy, Agricultural, and Metal Markets: A Connectedness Analysis for Years 1780-2020," Finance Research Letters, Elsevier, vol. 43(C).
    75. Sun, Xiaolei & Tang, Ling & Yang, Yuying & Wu, Dengsheng & Li, Jianping, 2014. "Identifying the dynamic relationship between tanker freight rates and oil prices: In the perspective of multiscale relevance," Economic Modelling, Elsevier, vol. 42(C), pages 287-295.
    76. Ruan, Qingsong & Wang, Yao & Lu, Xinsheng & Qin, Jing, 2016. "Cross-correlations between Baltic Dry Index and crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 278-289.
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    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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