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In search of attention in agricultural commodity markets

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  • Mišečka, Tomáš
  • Ciaian, Pavel
  • Rajčániová, Miroslava
  • Pokrivčák, Jan

Abstract

This paper investigates the impact of attention driven behaviour on agricultural commodity prices. We proxy attention driven behaviour using search queries for the commodity names in Google. We apply the ARDL model to estimate the impact of search queries on three internationally traded agricultural commodities – corn, wheat and soybean – using weakly data for the period 2009–2015. The results show that there is causal and permanent relationship between Google search queries and prices of corn and wheat confirming the presence of the attention driven behaviour. However, the estimates do not confirm this relationship for soybean price.

Suggested Citation

  • Mišečka, Tomáš & Ciaian, Pavel & Rajčániová, Miroslava & Pokrivčák, Jan, 2019. "In search of attention in agricultural commodity markets," Economics Letters, Elsevier, vol. 184(C).
  • Handle: RePEc:eee:ecolet:v:184:y:2019:i:c:s0165176519303337
    DOI: 10.1016/j.econlet.2019.108668
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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. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    3. Allan D. Brunner, 2002. "El Niño and World Primary Commodity Prices: Warm Water or Hot Air?," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 176-183, February.
    4. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The economics of BitCoin price formation," Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
    5. Dwight R. Sanders & Scott H. Irwin & Robert P. Merrin, 2010. "The Adequacy of Speculation in Agricultural Futures Markets: Too Much of a Good Thing?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 77-94.
    6. Kristoufek, Ladislav, 2015. "Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 194-205.
    7. Goddard, John & Kita, Arben & Wang, Qingwei, 2015. "Investor attention and FX market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 79-96.
    8. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    9. Ciaian, Pavel & Rajcaniova, Miroslava & Kancs, d'Artis, 2018. "Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 173-195.
    10. Brian J. Henderson & Neil D. Pearson & Li Wang, 2015. "Editor's Choice New Evidence on the Financialization of Commodity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 28(5), pages 1285-1311.
    11. Fowowe, Babajide, 2016. "Do oil prices drive agricultural commodity prices? Evidence from South Africa," Energy, Elsevier, vol. 104(C), pages 149-157.
    12. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    13. Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016. "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, vol. 59(C), pages 11-23.
    14. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    15. Ciaian, Pavel & Kancs, d'Artis, 2011. "Interdependencies in the energy-bioenergy-food price systems: A cointegration analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 326-348, January.
    16. Mondria, Jordi & Wu, Thomas & Zhang, Yi, 2010. "The determinants of international investment and attention allocation: Using internet search query data," Journal of International Economics, Elsevier, vol. 82(1), pages 85-95, September.
    17. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    18. Derek Headey & Shenggen Fan, 2008. "Anatomy of a crisis: the causes and consequences of surging food prices," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 375-391, November.
    19. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    20. Rieger, Jörg & Kuhlgatz, Christian & Anders, Sven, 2016. "Food scandals, media attention and habit persistence among desensitised meat consumers," Food Policy, Elsevier, vol. 64(C), pages 82-92.
    21. Wang, Sun Ling & McPhail, Lihong, 2014. "Impacts of energy shocks on US agricultural productivity growth and commodity prices—A structural VAR analysis," Energy Economics, Elsevier, vol. 46(C), pages 435-444.
    22. Gohin, A. & Chantret, F., 2010. "The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages," Energy Policy, Elsevier, vol. 38(1), pages 333-339, January.
    23. Muto, Megumi & Yamano, Takashi, 2009. "The Impact of Mobile Phone Coverage Expansion on Market Participation: Panel Data Evidence from Uganda," World Development, Elsevier, vol. 37(12), pages 1887-1896, December.
    24. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    25. Herve Ott, 2014. "Volatility in Cereal Prices: Intra- Versus Inter-annual Volatility," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(3), pages 557-578, September.
    26. Welagedara, Venura & Deb, Saikat Sovan & Singh, Harminder, 2017. "Investor attention, analyst recommendation revisions, and stock prices," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 211-223.
    27. Drabik, Dusan & de Gorter, Harry & Timilsina, Govinda R., 2014. "The effect of biodiesel policies on world biodiesel and oilseed prices," Energy Economics, Elsevier, vol. 44(C), pages 80-88.
    28. G.M. Constantinides & M. Harris & R. M. Stulz (ed.), 2013. "Handbook of the Economics of Finance," Handbook of the Economics of Finance, Elsevier, volume 2, number 2-b.
    29. Luciano Gutierrez, 2013. "Speculative bubbles in agricultural commodity markets-super- †," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(2), pages 217-238, March.
    30. G.M. Constantinides & M. Harris & R. M. Stulz (ed.), 2013. "Handbook of the Economics of Finance," Handbook of the Economics of Finance, Elsevier, volume 2, number 2-a.
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    5. Arunava Bandyopadhyay & Prabina Rajib, 2023. "The impact of Sino–US trade war on price discovery of soybean: A double‐edged sword?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(7), pages 858-879, July.
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    7. Cao, Yan & Cheng, Sheng & Li, Xinran, 2024. "Co-movements between heterogeneous crude oil and food markets: Does temperature change really matter?," Research in International Business and Finance, Elsevier, vol. 67(PB).
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    More about this item

    Keywords

    Attention driven behaviour; Search queries; Agricultural commodity prices;
    All these keywords.

    JEL classification:

    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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