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Does twitter economic uncertainty matter for wheat prices?

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  • Alamah, Zein
  • Elgammal, Walid
  • Fakih, Ali

Abstract

This paper investigates the relationship between wheat prices, energy prices (crude oil and natural gas), and economic uncertainty, represented by the Twitter Economic Uncertainty Index (TEU). Despite existing literature emphasizing the significant impact of energy costs on agricultural commodity prices, this research uncovers no significant short-run relationship between the price shocks in the crude oil or natural gas markets and wheat prices. Similarly, fluctuations in the TEU USA do not reliably predict changes in wheat prices. This paper enriches the field by utilizing time series econometric analysis with a Structural Vector Auto-Regressive model with an exogenous variable (SVARX), incorporating four endogenous variables: wheat, crude oil, natural gas, and economic uncertainty from mid-2011 to mid-2022, and an exogenous dummy variable to account for an existing structural break. The findings present new insights into the complex interplay between these variables within a single framework and expand our understanding of the impact of economic uncertainty derived from Twitter data on agricultural commodity prices. Policymakers and researchers are advised to continue exploring these relationships over different periods, geographical contexts, and events to strengthen food security strategies by gaining a nuanced understanding of agricultural commodity prices.

Suggested Citation

  • Alamah, Zein & Elgammal, Walid & Fakih, Ali, 2024. "Does twitter economic uncertainty matter for wheat prices?," Economics Letters, Elsevier, vol. 234(C).
  • Handle: RePEc:eee:ecolet:v:234:y:2024:i:c:s0165176523004895
    DOI: 10.1016/j.econlet.2023.111463
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    References listed on IDEAS

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    1. Bakas, Dimitrios & Triantafyllou, Athanasios, 2018. "The impact of uncertainty shocks on the volatility of commodity prices," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 96-111.
    2. Ping-Yu Chen & Chia-Lin Chang & Chi-Chung Chen & Michael McAleer, 2012. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," JRFM, MDPI, vol. 5(1), pages 1-37, December.
    3. Sanyal, Prabuddha & Malczynski, Leonard A. & Kaplan, Paul, 2015. "Impact of Energy Price Variability on Global Fertilizer Price: Application of Alternative Volatility Models," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 4(4).
    4. Stephen P. A. Brown & Mine K. Yucel, 2008. "What Drives Natural Gas Prices?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 45-60.
    5. Shen, Yifan & Shi, Xunpeng & Zeng, Ting, 2017. "Global Uncertainty, Macroeconomic Activity and Commodity Price," MPRA Paper 90089, University Library of Munich, Germany, revised 17 Nov 2018.
    6. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    7. Wongpiyabovorn, Oranuch, 2021. "Changes in the Relationship between Nitrogen Fertilizer and Natural Gas Prices in the U.S," 2021 Annual Meeting, August 1-3, Austin, Texas 312628, Agricultural and Applied Economics Association.
    8. Fernandez-Perez, Adrian & Frijns, Bart & Tourani-Rad, Alireza, 2016. "Contemporaneous interactions among fuel, biofuel and agricultural commodities," Energy Economics, Elsevier, vol. 58(C), pages 1-10.
    9. Ji, Qiang & Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018. "Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model," Energy Economics, Elsevier, vol. 75(C), pages 14-27.
    10. Shahnoushi, Naser & Sayed, Saghaian & Hezareh, Reza & Tirgari Seraji, Mohammad, 2017. "Investigation of Relationship Between World Food Prices and Energy Price: A Panel SUR Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252782, Southern Agricultural Economics Association.
    11. Mine K. Vücel & Shengyi Guo, 1994. "Fuel Taxes And Cointegration Of Energy Prices," Contemporary Economic Policy, Western Economic Association International, vol. 12(3), pages 33-41, July.
    12. Frank Asche & Petter Osmundsen & Maria Sandsmark, 2006. "The UK Market for Natural Gas, Oil and Electricity: Are the Prices Decoupled?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 27-40.
    13. Ayhan KAPUSUZOGLU & Merve KARACAER ULUSOY, 2015. "The interactions between agricultural commodity and oil prices: an empirical analysis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(9), pages 410-421.
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    More about this item

    Keywords

    Wheat; Food prices; Energy prices; Economic uncertainty; Agricultural commodities; Agricultural economics;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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