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Modelling time and frequency connectedness among energy, agricultural raw materials and food markets

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  • Musefiu Adebowale Adeleke
  • Olabanji Benjamin Awodumi

Abstract

The study analyzes volatility connectedness of energy, agricultural raw materials and food markets for both time and frequency domains (January 1960 to August 2020). The DY and BK approaches are adopted at both commodity-group and sub-group levels. Time domain estimates indicate that the energy market produced more risk spillover in the food market than raw material market. Rubber contributes the largest to spillover in the crude oil and sugar markets. Estimates from frequency domain reveal that raw material and food markets are net transmitter and net recipient of volatility spillover, respectively, at the lowest and highest frequency domains. Crude oil is the largest source of spillover in the tobacco, meat and natural gas markets in the high-frequency band. Finally, the meat and crude oil markets are the largest receiver of shock spillover from all other markets over the low- and high-frequency bands, respectively. Policy implications are derived from the findings.

Suggested Citation

  • Musefiu Adebowale Adeleke & Olabanji Benjamin Awodumi, 2022. "Modelling time and frequency connectedness among energy, agricultural raw materials and food markets," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 644-662, December.
    • Handle: RePEc:taf:recsxx:v:25:y:2022:i:1:p:644-662
    DOI: 10.1080/15140326.2022.2056300
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    Citations

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    Cited by:

    1. Anna Szczepańska-Przekota, 2023. "Are Small Agricultural Markets Recipients of World Prices? The Case of Poland," Agriculture, MDPI, vol. 13(6), pages 1-16, June.
    2. Kočenda, Evžen & Moravcová, Michala, 2024. "Frequency volatility connectedness and portfolio hedging of U.S. energy commodities," Research in International Business and Finance, Elsevier, vol. 69(C).
    3. Nonelelo Vuba & Thobekile Qabhobho, 2024. "The Risk Transfer among Exchange Rates, Energy Commodities, and Agricultural Commodity Prices in SADC Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 287-298, March.
    4. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    5. Nasreen, Samia & Tiwari, Aviral Kumar & Goodell, John W. & Tedeschi, Marco, 2024. "Asymmetric and frequency-domain spillover effects among industrial metals, precious metals, and energy futures markets," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1556-1592.
    6. Adeleke, Musefiu A. & Awodumi, Olabanji B. & Adewuyi, Adeolu O., 2022. "Return and volatility connectedness among commodity markets during major crises periods: Static and dynamic analyses with asymmetries," Resources Policy, Elsevier, vol. 79(C).

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