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The Risk Transfer among Exchange Rates, Energy Commodities, and Agricultural Commodity Prices in SADC Countries

Author

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  • Nonelelo Vuba

    (Department of Economics, Faculty of Business and Economic Sciences, Nelson Mandela University, Gqeberha, South Africa.)

  • Thobekile Qabhobho

    (Department of Economics, Faculty of Business and Economic Sciences, Nelson Mandela University, Gqeberha, South Africa.)

Abstract

This paper investigates the risk transfer between exchange rates, energy commodities, and agricultural commodity prices in SADC nations from July 29, 2007, to December 18, 2022. The Time-varying parameter Vector Autoregression connectivity technique is specifically used. The total connectivity index for the specific network of energy commodities, currency rates, and agricultural commodities is 24.39%. The energy commodities index (crude oil and heating oil) and the ZAR were the largest shock transmitters, according to averaged dynamic connectedness. In contrast, two SADC currency markets (MWK and MZN), natural gas, and corn were net shock recipients. Furthermore, overall connection indices were shown to change dramatically with high sensitivity to crisis events, particularly the 2007/2008 crisis and the COVID-19 pandemic. As indicated by net directional connection, most energy commodities, as well as the Rand and the Pula, were persistent net transmitters over time. This is especially noteworthy given oil’s direct impact on agricultural commodities. The findings of this paper are useful for policymakers who are attempting to maximize public benefit. Policymakers charged with developing policies for economically vulnerable segments of the population should use these findings to examine the potential impact of changes in energy prices on food and currency markets.

Suggested Citation

  • 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.
  • Handle: RePEc:eco:journ2:2024-02-28
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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. John Baffes, 2011. "Cotton Subsidies, the WTO, and the ‘Cotton Problem’," The World Economy, Wiley Blackwell, vol. 34(9), pages 1534-1556, September.
    3. Furuoka, Fumitaka & Yaya, OlaOluwa Simon & Ling, Pui Kiew & Al-Faryan, Mamdouh Abdulaziz Saleh & Islam, M. Nazmul, 2023. "Transmission of risks between energy and agricultural commodities: Frequency time-varying VAR, asymmetry and portfolio management," Resources Policy, Elsevier, vol. 81(C).
    4. 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.
    5. Backus, David K. & Crucini, Mario J., 2000. "Oil prices and the terms of trade," Journal of International Economics, Elsevier, vol. 50(1), pages 185-213, February.
    6. Anthony N. Rezitis, 2015. "The relationship between agricultural commodity prices, crude oil prices and US dollar exchange rates: a panel VAR approach and causality analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 403-434, May.
    7. 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.
    8. Tokarick, Stephen, 2008. "Commodity currencies and the real exchange rate," Economics Letters, Elsevier, vol. 101(1), pages 60-62, October.
    9. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    10. Thobekile Qabhobho & Anokye M. Adam & Anthony Adu-Asare Idun & Emmanuel Asafo-Adjei & Ebenezer Boateng, 2023. "Exploring the Time-varying Connectedness and Contagion Effects among Exchange Rates of BRICS, Energy Commodities, and Volatilities," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 272-283, March.
    11. Song-Zan Chiou-Wei, Sheng-Hung Chen, and Zhen Zhu, 2019. "Energy and Agricultural Commodity Markets Interaction: An Analysis of Crude Oil, Natural Gas, Corn, Soybean, and Ethanol Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    12. 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.
    13. Mehmet Balcilar & Shinhye Chang & Rangan Gupta & Vanessa Kasongo & Clement Kyei, 2016. "The relationship between oil and agricultural commodity prices in south africa: a quantile causality approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(2), pages 137-152, April-Jun.
    14. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan & Plakandaras, Vasilios, 2018. "Dynamic connectedness of uncertainty across developed economies: A time-varying approach," Economics Letters, Elsevier, vol. 166(C), pages 63-75.
    15. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    16. Sotja G. Dlamini, 2019. "Dynamic Relationship Between Global Oil Price and the Eswatini’s Exchange Rate: A Toda-Yamamoto Approach," International Journal of World Policy and Development Studies, Academic Research Publishing Group, vol. 5(9), pages 82-86, 09-2019.
    17. Irwin, Scott H. & Garcia, Philip & Good, Darrel L. & Kunda, Eugene L., 2009. "Poor Convergence Performance of CBOT Corn, Soybean and Wheat Futures Contracts: Causes and Solutions," Marketing and Outlook Research Reports 183475, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    18. 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.
    19. Harri, Ardian & Nalley, Lanier & Hudson, Darren, 2009. "The Relationship between Oil, Exchange Rates, and Commodity Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(2), pages 501-510, August.
    20. Brian D. Wright, 2011. "The Economics of Grain Price Volatility," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 32-58.
    21. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    22. Nazlioglu, Saban & Soytas, Ugur, 2012. "Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 34(4), pages 1098-1104.
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    More about this item

    Keywords

    TVP-VAR; SADC; Net Transmitters; Net Recipients;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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