IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v17y2024i8p365-d1457211.html
   My bibliography  Save this article

Volatility Spillovers among the Major Commodities: A Review

Author

Listed:
  • Konstantinos D. Melas

    (Faculty of Business and Economics, Metropolitan College, 541 24 Thessaloniki, Greece
    Department of Economics, University of Western Macedonia, 521 00 Kastoria, Greece
    Department of Economics, University of Macedonia, 546 36 Thessaloniki, Greece)

  • Anastasia Faitatzoglou

    (Faculty of Business and Economics, Metropolitan College, 541 24 Thessaloniki, Greece)

  • Nektarios A. Michail

    (Economic Analysis and Research Department, Central Bank of Cyprus & School of Economics and Business, Cyprus University of Technology, Limassol 3036, Cyprus)

  • Anastasia Artemiou

    (Faculty of Business and Economics, Metropolitan College, 541 24 Thessaloniki, Greece)

Abstract

The integration of commodities into stock exchanges marked a pivotal moment in the analysis of price dynamics. Commodities are essential for both daily sustenance and industrial processes and are separated into hard commodities, like metals, and soft commodities, such as agricultural produce. This paper provides a review of the relevant literature concerning the implications of commodity price volatility on commercial and financial landscapes, recognizing its profound impact on global economies. Drawing from Google Scholar and Science Direct, we analyze trends in academic publications until 2022, particularly focusing on the interplay between volatility spillover and ten different commodities, providing insights into the evolution of research paradigms over time. In a nutshell, the literature suggests that relationships between hard commodities are stronger since, in addition to being raw materials, they also serve as investment products. For the same reason, relationships between agricultural products appear to be relatively weaker.

Suggested Citation

  • Konstantinos D. Melas & Anastasia Faitatzoglou & Nektarios A. Michail & Anastasia Artemiou, 2024. "Volatility Spillovers among the Major Commodities: A Review," JRFM, MDPI, vol. 17(8), pages 1-36, August.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:8:p:365-:d:1457211
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/17/8/365/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/17/8/365/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sanjay Sehgal & Namita Rajput & Florent Deisting, 2013. "Price Discovery and Volatility Spillover: Evidence from Indian Commodity Markets," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 7(3), pages 57-75.
    2. Libo Yin & Liyan Han, 2013. "Exogenous Shocks and Information Transmission in Global Copper Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(8), pages 724-751, August.
    3. Beckmann, Joscha & Czudaj, Robert, 2014. "Volatility transmission in agricultural futures markets," Economic Modelling, Elsevier, vol. 36(C), pages 541-546.
    4. Yang, Cai & Niu, Zibo & Gao, Wang, 2022. "The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach," Resources Policy, Elsevier, vol. 76(C).
    5. Jonathan A. Batten & Cetin Ciner & Brian M. Lucey, 2015. "Which precious metals spill over on which, when and why? Some evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 22(6), pages 466-473, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caporin, Massimiliano & Naeem, Muhammad Abubakr & Arif, Muhammad & Hasan, Mudassar & Vo, Xuan Vinh & Hussain Shahzad, Syed Jawad, 2021. "Asymmetric and time-frequency spillovers among commodities using high-frequency data," Resources Policy, Elsevier, vol. 70(C).
    2. Śmiech, Sławomir & Papież, Monika & Fijorek, Kamil & Dąbrowski, Marek A., 2019. "What drives food price volatility? Evidence based on a generalized VAR approach applied to the food, financial and energy markets," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-32.
    3. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.
    4. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    5. Zhou, Liyun & Huang, Jialiang, 2020. "Contagion of future-level sentiment in Chinese Agricultural Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    6. C. P. Gupta & Sanjay Sehgal & Sahaj Wadhwa, 2018. "Agricultural Commodity Trading: Is it Destabilizing Spot Markets?," Vikalpa: The Journal for Decision Makers, , vol. 43(1), pages 47-57, March.
    7. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "Are precious metals a hedge against exchange-rate movements? An empirical exploration using bayesian additive regression trees," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 27-38.
    8. repec:grm:ecoyun:201905 is not listed on IDEAS
    9. Gao, Wang & Wei, Jiajia & Zhang, Hongwei & Zhang, Haizhen, 2024. "The higher-order moments connectedness between rare earth and clean energy markets and the role of geopolitical risk:New insights from a TVP-VAR framework," Energy, Elsevier, vol. 305(C).
    10. Wang, Gang-Jin & Chen, Yang-Yang & Si, Hui-Bin & Xie, Chi & Chevallier, Julien, 2021. "Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 325-347.
    11. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 77(C).
    12. Yang, Cai & Zhang, Hongwei & Qin, Yun & Niu, Zibo, 2024. "Partisan conflict, trade policy uncertainty, and the energy market," Research in International Business and Finance, Elsevier, vol. 71(C).
    13. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Fed’s unconventional monetary policy and risk spillover in the US financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 42-52.
    14. repec:grm:ecoyun:201812 is not listed on IDEAS
    15. Štefan Lyócsa & Peter Molnár, 2016. "Volatility forecasting of strategically linked commodity ETFs: gold-silver," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1809-1822, December.
    16. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Quantile connectedness between energy, metal, and carbon markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
    17. Bouoiyour, Jamal & Selmi, Refk, 2018. "Heterogeneous Responses to China and Oil Shocks: the G7 Stock Markets," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 33(3), pages 488-513.
    18. Rajni Kant Rajhans & Anuradha Jain, 2015. "Volatility Spillover in Foreign Exchange Markets," Paradigm, , vol. 19(2), pages 137-151, December.
    19. Uddin, Gazi Salah & Shahzad, Syed Jawad Hussain & Boako, Gideon & Hernandez, Jose Areola & Lucey, Brian M., 2019. "Heterogeneous interconnections between precious metals: Evidence from asymmetric and frequency-domain spillover analysis," Resources Policy, Elsevier, vol. 64(C).
    20. Mensi, Walid & Aslan, Aylin & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Time-frequency spillovers and connectedness between precious metals, oil futures and financial markets: Hedge and safe haven implications," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 219-232.
    21. Bohl, Martin T. & Gross, Christian & Souza, Waldemar, 2019. "The role of emerging economies in the global price formation process of commodities: Evidence from Brazilian and U.S. coffee markets," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 203-215.
    22. Ruchika Kaura & Namita Rajput, 2024. "Future–Spot Relationship in Commodity Market: A Comparison Across Commodity Segments in India," Global Business Review, International Management Institute, vol. 25(5), pages 1314-1335, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:17:y:2024:i:8:p:365-:d:1457211. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.