Economic Annals-ХХI: Volume 178, Issue 7-8, Pages: 123-133
Shyian, D., Sakhno, I., & Kramarenko, K. (2019). Impact of expectations on grain futures price formation. Economic Annals-XXI, 178(7-8), 123-133. doi: https://doi.org/10.21003/ea.V178-11
Simon Kuznets Kharkiv National University of Economics
9-A Nauky Ave., Kharkiv, 61166, Ukraine
ORCID ID: http://orcid.org/0000-0002-0815-267X
National Academy of the National Guard of Ukraine
3 Zakhysnykiv Ukrainy Sq., Kharkiv, 61000, Ukraine
ORCID ID: http://orcid.org/0000-0001-6795-0535
National Academy of the National Guard of Ukraine
3 Zakhysnykiv Ukrainy Sq., Kharkiv, 61001, Ukraine
ORCID ID: http://orcid.org/0000-0001-9601-2003
Impact of expectations on grain futures price formation
Abstract. Introduction. The problems of estimating and forecasting the price of grain futures in the US market are discussed in the paper. It is emphasized that the expectation factor in such markets plays one of the leading roles. It is noted that it is the grain market that is significantly influenced by expectations due to the forecast of future harvests in different parts of the world.
The purpose of the study is to analyze the process of shaping the dynamics of future prices for wheat and corn (maize) under the influence of the expectations factor in the United States in 2009-2019.
Methods. The authors’ own technique to analyze the dynamics of future price changes through the transformation of primary data, using the cumulative sliding expectations method, is proposed.
Results. Analysing the data on changes in the prices of futures for grain, the periods of their sharpest increase in wheat and the most significant fall in corn have been identified. Comparison of the absolute data of the dynamic series and the values of the total sliding expectations made it possible to state that the maximum and minimum values of the total sliding expectations are related to the maximum values of future prices. Analysing the fastest rise in prices of wheat futures and the values of total sliding expectations, the latent fluctuations in expectations change of economic agents have been revealed.
Conclusion. It is concluded that the proposed transformation method of the primary data on the dynamic series of changes in grain futures prices reveals hidden patterns, which in turn improves forecasting of future events in the market.
Keywords: Time Series; Total Sliding Expectations; Commodity Markets; Futures; Price of Goods; Grain Futures; Corn Futures; USA
JEL Classification: G13; G14; Q11
Acknowledgements and Funding: The authors received no direct funding for this research.
Contribution: The authors contributed equally to this work.
- Smith, A. (1776, 2007). An Inquiry into the Nature and Causes of the Wealth of Nations. S. M. Soares (Ed.). Lausanne: MetaLibri Digital Library.
Retrieved from https://www.ibiblio.org/ml/libri/s/SmithA_WealthNations_p.pdf
- Marshall, A. (2013). Principles of Economics (8th edition). London: Palgrave Macmillan.
Retrieved from http://www.library.fa.ru/files/Marshall-Principles.pdf
- Keynes, J. M. (1936). The General Theory of Employment, Interest and Money. Macmillan.
Retrieved from http://cas2.umkc.edu/economics/people/facultypages/kregel/courses/econ645/winter2011/generaltheory.pdf
- Peltzman, S. (2000). Prices Rise Faster than They Fall. Journal of Political Economy, 108(3), 466-502.
- Lobell, D. B., Cassman, K. G., & Field, Ch. B. (2009). Crop Yield Gaps: Their Importance, Magnitudes, and Causes. Annual Review of Environment and Resources, 34, 179-204.
- Lobell, D. B., & Field, Ch. B. (2007). Global scale climate-crop yield relationships and the impacts of recent warming. Environmental Research Letters, 2(1), 1-7.
- Headey, D., & Fan, Sh. (2008). Anatomy of a crisis: The causes and consequences of surging food prices. Agricultural Economics, 39(1), 375-391.
- Anderson, K., & Nelgen, S. (2010) Trade Barrier Volatility and Agricultural Price Stabilization. World Development, 40(1), 36-48.
- McPhail, L. L., Du, X., & Muhammad, A. (2012). Disentangling Corn Price Volatility: The Role of Global Demand, Speculation, and Energy. Journal of Agricultural and Applied Economics, 44(3), 401-410.
- Xu, Y., Pan, F., Wang, Ch., & Li, J. (2019). Dynamic Price Discovery Process of Chinese Agricultural Futures Markets: An Empirical Study Based on the Rolling Window Approach. Journal of Agricultural and Applied Economics, 51(4), 664-681.
- Boyer, Ch. N., Larson, J. A., Roberts, R. K., McClure, M. A., Tyler, D. D., & Smith, S. A. (2015). Effects of recent corn and energy prices on irrigation investment in the humid climate of tennessee. Journal of Agricultural and Applied Economics, 47(1), 105-122.
- Luckstead, J., & Devadoss, S. (2019). Implications of Commodity Programs and Crop Insurance Policies for Wheat Producers. Journal of Agricultural and Applied Economics, 51(2), 267-285.
- Amrouk, El M., Heckelei, Th., & Grosche, S.-C. (2019). International Interdependence between Cash Crop and Staple Food Futures Price Indices: A Dynamic Assessment. Journal of Agricultural and Applied Economics, 51(3), 450-471.
- Grosche, S.-C., & Heckelei, Th. (2016). Directional Volatility Spillovers between Agricultural, Crude Oil, Real Estate, and Other Financial Markets. In M. Kalkuhl, J. von Braun, & M. Torero (Eds.), Food Price Volatility and Its Implications for Food Security and Policy (pp. 183-205). Springer Open.
- Koyck, L. M. (1954). Distributed Lags and Investment Analysis. Contributions to Economic Analysis. Amsterdam: North-Holland Publishing Company.
- Gál, T., Nagy, L., Dávid, L., Vasa, L., & Balogh, P. (2013). Technology planning system as a decision support tool for dairy farms in Hungary. Acta Polytechnica Hungarica, 10(8), 231-244.
Retrieved from https://www.uni-obuda.hu/journal/Gal_Nagy_David_Vasa_Balogh_46.pdf
- Muth, J. F. (1961). Rational Expectations and the Theory of Price Movements. Econometrica, 29(3), 315-335.
- Simon, H. A. (1958). The Role of Expectations in an Adaptive or Behavioristic Model. In M. J. Bowman (Eds.), Expectations, Uncertainty and Business Behavior (pp. 49-58). New York: Social Sciences Research Council.
- Phillips, A. W. (1958). The Relation between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861-1957. Economica, 25(100), 283-299.
- Lucas, E. R. Jr. (1976). Econometric Policy Evaluation: A Critique. Carnegie-Rochester Conference Series on Public Policy, 1, 19-46.
- Kendall, M. G., & Hill, A. B. (1953). The Analysis of Economic Time Series: Part 1. Prices. Journal of Royal Statistical Society. Series A (General), 116(1), 11-34.
- Ferrell, A. (2003). If We Understand the Mechanisms, Why Don’t We Understand Their Output? Harvard Law and Economics, Discussion Paper No. 414. Harvard Law School. Cambridge, MA.
- Shyian, D. V. (2011). Impact of expectations on the mechanism of action of the economic cycle. Ekonomika i prohnozuvannia (Economics and Forecasting), 2, 40-52 (in Ukr.).
- Investing.com (2019). Real-time futures quotes.
Retrieved from https://ru.investing.com/commodities/real-time-futures