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Patterns of Spillover in Energy, Agricultural, and Metal Markets: A Connectedness Analysis for Years 1780-2020

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  • Umar, Zaghum
  • Riaz, Yasir
  • Zaremba, Adam

Abstract

This paper investigates the connectedness of nine different commodity classes over more than two centuries. The data sample includes monthly observations from the years 1780 to 2020. Our static analysis shows precious metals, soft foods, grains and, base metals as a net transmitter of spillover. The time-varying analysis shows that connectedness increases during economic crises, political uncertainty, and commodity-driven supply shocks. Our results have important implications for regulators, portfolio managers, and policymakers.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:finlet:v:43:y:2021:i:c:s1544612321000805
    DOI: 10.1016/j.frl.2021.101999
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    References listed on IDEAS

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    Cited by:

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    2. 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).
    3. Sun, Yiqun & Ji, Hao & Cai, Xiurong & Li, Jiangchen, 2023. "Joint extreme risk of energy prices-evidence from European energy markets," Finance Research Letters, Elsevier, vol. 56(C).
    4. Alam, Md Rafayet & Forhad, Md. Abdur Rahman & Sah, Nilesh B., 2022. "Consumption- and speculation-led change in demand for oil and the response of base metals: A Markov-switching approach," Finance Research Letters, Elsevier, vol. 47(PB).
    5. Cheng, Sheng & Zhang, Zongyou & Cao, Yan, 2022. "Can precious metals hedge geopolitical risk? Fresh sight using wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    6. Katarzyna Kuziak & Joanna Górka, 2023. "Dependence Analysis for the Energy Sector Based on Energy ETFs," Energies, MDPI, vol. 16(3), pages 1-30, January.
    7. 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).
    8. Umar, Zaghum & Yousaf, Imran & Aharon, David Y., 2021. "The relationship between yield curve components and equity sectorial indices: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    9. Bossman, Ahmed & Umar, Zaghum & Agyei, Samuel Kwaku & Teplova, Tamara, 2023. "The impact of the US yield curve on sub-Saharan African equities," Finance Research Letters, Elsevier, vol. 53(C).
    10. Umar, Zaghum & Manel, Youssef & Riaz, Yasir & Gubareva, Mariya, 2021. "Return and volatility transmission between emerging markets and US debt throughout the pandemic crisis," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    11. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    12. Aloui, Riadh & Ben Jabeur, Sami & Rezgui, Hichem & Ben Arfi, Wissal, 2023. "Geopolitical risk and commodity future returns: Fresh insights from dynamic copula conditional value-at-risk approach," Resources Policy, Elsevier, vol. 85(PB).
    13. Arfaoui, Nadia & Yousaf, Imran & Jareño, Francisco, 2023. "Return and volatility connectedness between gold and energy markets: Evidence from the pre- and post-COVID vaccination phases," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 617-634.
    14. Jana, Rabin K. & Ghosh, Indranil, 2023. "Time-varying relationship between geopolitical uncertainty and agricultural investment," Finance Research Letters, Elsevier, vol. 52(C).
    15. Adewuyi, Adeolu O. & Adeleke, Musefiu A. & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel, 2023. "Dynamic linkages between shipping and commodity markets: Evidence from a novel asymmetric time-frequency method," Resources Policy, Elsevier, vol. 83(C).
    16. Cheng Xin & Kailin Ji & Hao Chang & Yang Li & Ya-Qiong Liu, 2022. "Price Co-Movement between Electrical Equipment and Metal Commodities—A Time-Frequency Analysis," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    17. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "Asymmetric effects of market uncertainties on agricultural commodities," Energy Economics, Elsevier, vol. 127(PB).

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    More about this item

    Keywords

    Commodities; Connectedness; Early commodity prices; Network analysis; Variance decompositions;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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