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Volatility contagion and connectedness between WTI and commodity markets

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  • Boroumand, Raphaël Homayoun
  • Porcher, Thomas

Abstract

This article analyzes the contagion risk between WTI crude oil prices and several major commodities markets. We study the dynamics of commodity connectedness, and we measure volatility contagion under various market conditions and commodity price cycles between 1982 and 2020. Our results show that the intensity, speed, and duration of contagion vary across periods according to macroeconomic factors. Our findings have implications for optimal portfolio strategies and market regulation to insure against potential losses inherent to volatility contagion across international markets. Our findings are relevant for industrial producers, farmers, investors, market regulators, and financial supervisors.

Suggested Citation

  • Boroumand, Raphaël Homayoun & Porcher, Thomas, 2023. "Volatility contagion and connectedness between WTI and commodity markets," Finance Research Letters, Elsevier, vol. 58(PA).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323003318
    DOI: 10.1016/j.frl.2023.103959
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    References listed on IDEAS

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    1. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    2. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    3. Jun Yang & Huanguang Qiu & Jikun Huang & Scott Rozelle, 2008. "Fighting global food price rises in the developing world: the response of China and its effect on domestic and world markets," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 453-464, November.
    4. Baffes, John & Haniotis, Tassos, 2010. "Placing the 2006/08 commodity price boom into perspective," Policy Research Working Paper Series 5371, The World Bank.
    5. Sari, Ramazan & Hammoudeh, Shawkat & Chang, Chia-Lin & McAleer, Michael, 2012. "Causality between market liquidity and depth for energy and grains," Energy Economics, Elsevier, vol. 34(5), pages 1683-1692.
    6. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    7. Goodell, John W. & Goutte, Stephane, 2021. "Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 38(C).
    8. Hanson, Kenneth & Robinson, Sherman & Schluter, Gerald E., 1993. "Sectoral Effects Of A World Oil Price Shock: Economywide Linkages To The Agricultural Sector," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-21, July.
    9. Aloui, Chaker & Nguyen, Duc Khuong & Njeh, Hassen, 2012. "Assessing the impacts of oil price fluctuations on stock returns in emerging markets," Economic Modelling, Elsevier, vol. 29(6), pages 2686-2695.
    10. López Cabrera, Brenda & Schulz, Franziska, 2016. "Volatility linkages between energy and agricultural commodity prices," Energy Economics, Elsevier, vol. 54(C), pages 190-203.
    11. Zhang, Zibin & Lohr, Luanne & Escalante, Cesar & Wetzstein, Michael, 2010. "Food versus fuel: What do prices tell us?," Energy Policy, Elsevier, vol. 38(1), pages 445-451, January.
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    Cited by:

    1. Bonga-Bonga, Lumengo & Mpoha, Salifya, 2024. "Spillover effects from China and the United States to Key Regional Emerging Markets: A dynamic analysis," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Polat, Onur & Ertuğrul, Hasan Murat & Sakarya, Burçhan & Akgül, Ali, 2024. "TVP-VAR based time and frequency domain food & energy commodities connectedness an analysis for financial/geopolitical turmoil episodes," Applied Energy, Elsevier, vol. 357(C).

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    More about this item

    Keywords

    Oil; Volatility; Contagion; WTI; Commodity; Price; Wavelet;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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