Transmission of futures prices to the Italian spot market: Are there opportunities to hedge corn price risk?

Titolo Rivista ECONOMIA AGRO-ALIMENTARE
Autori/Curatori Samuele Trestini, Carlotta Penone
Anno di pubblicazione 2018 Fascicolo 2018/2
Lingua Inglese Numero pagine 12 P. 193-204 Dimensione file 140 KB
DOI 10.3280/ECAG2018-002005
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Agricultural commodity prices have been recently characterized by a high degree of volatility, which results in a higher exposure to price risk for farmers. Among different commodities, corn represents the main crop produced in Italy. The study aims at estimating price transmission of three futures markets - specifically French (matif), US (cbot) and Hungarian (bse) - to Italian (Bologna) spot prices by the estimation of restricted Error Correction Models (ecm). This allows discussing the opportunity for Italian farmers to hedge price risk through the adoption of such risk management tools. Price transmissions were estimated based on a ten-year (2007-2016) and five-year (2012-2016) time series of weekly prices. For all the considered markets, the five-year model better explained Bologna spot prices and was thus considered for the subsequent evaluations. To assess a hypothetical unevenness in price transmission during the crop year, ecm has been estimated for a pre-harvest and post-harvest period. The results highlight that the level of price transmission is higher for post-harvest period compared to the pre-harvest one. This is true for all the considered futures markets with the exception of the cbot, where pre-harvest model performed better than post-harvest one. Estimating a multi-market model, where Bologna spot price variation depend on all considered futures market, results suggest that Italian corn prices depend most on the matif and bse in the post-harvest period, while in the pre-harvest period, the cbot plays the main role in price transmission.

Keywords:Price transmission, futures market, corn market, Error Correction Model.

Jel codes:G32, Q17, Q11

  1. Baffes, J., & Gardner, B. (2003). The transmission of world commodity prices to domestic markets under policy reforms in developing countries. The Journal of Policy Reform, 6(3), 159-180. DOI: 10.1080/0951274032000175770
  2. Baffes, J., & Haniotis, T. (2016). What Explains Agricultural Price Movements? Journal of Agricultural Economics, 67(3), 706-721. DOI: 10.1111/1477-9552.12172
  3. Carter, C.A., Rausser, G.C., & Smith, A. (2011). Commodity Booms and Busts. The Annual Review of Resource Economics is, 3, 87-118.
  4. Dana, J., Gilbert, C.L., & Shim, E. (2006). Hedging grain price risk in the SADC: Case studies of Malawi and Zambia. Food Policy, 31(4), 357-371.
  5. De Castro, P., Di Pasquale, J., & Adinolfi, F. (2012). Quale ruolo per la politica agricola europea in un’era d’instabilità dei mercati? Economia agro-alimentare, 14(1), 235-248. DOI: 10.3280/ECAG2012-001011
  6. Enjolras, G., Capitanio, F., Aubert, M., & Adinolfi, F. (2014). Direct payments, crop insurance and the volatility of farm income. Some evidence in France and in Italy. New Medit, 13(1), 31-40.
  7. Esposti, R., & Listorti, G. (2013). Agricultural price transmission across space and commodities during price bubbles. Agricultural Economics (United Kingdom), 44(1), 125-139.
  8. Finger, R., & Lehmann, N. (2012). The influence of direct payments on farmers’ hail insurance decisions. Agricultural economics, 43(3), 343-354.
  9. Hoag, D.L. (2009). Applied Risk Management in Agriculture. CRC Press.
  10. Li, L.H., & Zhang, Q. (2011). An empirical study on spot and futures market price of soybean, soybean oil and soybean meal in China. 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management, IE and EM 2011 (PART 2), 1197-1201. DOI: 10.1109/IEEM.2011.6035371
  11. Machado, E.L., & Margarido, M.A. (2001). Seasona price transmission in soybeans international market: the case of Brazil and Argentina, 12(19), 92-106.
  12. Matthews, A. (2010, March). Perspectives on addressing market instability and income risk for farmers. In a Joint AES and SFER Conference on – The common Agricultural Policy Post 2013.
  13. Mundlak, Y., & Larson, F.D. (1992). On the Transmission of World Agricultural Prices. The World Bank Economic Rewiew, 6(3), 399-422.
  14. Penone, C., & Trestini, S. (2018). Price transmission of US soybean futures into Italian spot market. Calitatea, 19(S1), 370-374.
  15. Revoredo-Giha, C., & Zuppiroli, M. (2013). Commodity futures markets: are they an effective price risk management tool for the European wheat supply chain? In 2ND AIEAA Conference “Between Crisis and Development: which Role for the Bio-Economy” (Vol. l, pp. 1-19).
  16. Santeramo, F.G., & Lamonaca, E. (2018). On the drivers of global grain price volatility: an empirical investigation. Agricultural Economics.
  17. Serra, T., & Gil, J.M. (2012). Price volatility in food markets: can stock building mitigate price fluctuations? European Review of Agricultural Economics, 40(3), 507-528.
  18. Tangermann, S. (2011). Policy solutions to agricultural market volatility: A synthesis. Issue Paper, 33, (33(1), 1-13. DOI: 10.7215/AG_IP_20110621B
  19. Trestini, S., Giampietri, E., Boatto, V. (2017). Toward the implementation of the Income Stabilization Tool: an analysis of factors affecting the probability of farm income losses in Italy. New Medit, 16(4), 24-30.
  20. Tropea, F., & Devuyst, P. (2016). Price volatility in agricultural markets Risk management and other tools. -- Retrieved on http://www.europarl.europa.eu/RegData/etudes/BRIE/2016/586609/EPRS_BRI(2016)586609_EN.pdf.
  21. Vavra, P., & Goodwin, B.K. (2005). Analysis of price transmission along the food chain. OECD Food, Agriculture & Fisheries Papers, No. 3, Paris: oecd Publishing.
  22. Zhao, Y., Yang, M., Zhang, Y., & Qi, C. (2010). Impact on the Chinese soybean markets from international prices volatility: Empirical study based on vec model. African Journal of Agricultural Research, 5(15), 1943-1950.

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Samuele Trestini, Carlotta Penone, Transmission of futures prices to the Italian spot market: Are there opportunities to hedge corn price risk? in "ECONOMIA AGRO-ALIMENTARE" 2/2018, pp 193-204, DOI: 10.3280/ECAG2018-002005