Affiliation:
1. Department of Agricultural Economics and Extension, Federal University Dutse
2. Department of Agricultural Economics, SKRAU
3. Department of Agricultural Economics, BUK
Abstract
This research determined price volatility spillovers among major wheat markets in the world using time series data (1966-2018) of six major wheat producing countries in the world. The data were sourced from FAO and UNCTAD databanks and were analyzed using descriptive statistics, multiple regression, unit root test and GARCH models. The findings showed that there is low and high persistence in the wheat prices of Canada and USA; and, Australia and India, respectively. Thus, it was established that the prices in the former markets were characterized by short memory; the effect of shock is temporary as the prices return to the attractor level within a short period. However, bad news on the prices of the latter markets has pronounced effect and takes a longer period for the price series to normalize. On the other hand, French and Chinese market price series exhibited an explosive pattern; the price series have infinite memory and the effect of innovation is permanent as price series will not normalize. Therefore, it can be concluded that the future trade of wheat is useful in the market given the persistence behavior of the prices as their price trends are tailored towards a rational expectation rather than a naïve expectation. However, for the market prices that are explosive, the market participants should focus on rational market expectation as a trade barometer.
Publisher
Anadolu Ege Tarimsal Arastirmalar Enstitusu Dergisi
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference32 articles.
1. Abebe, T.H., E.G. Woldesenbet and B.L. Zeleke. 2020 . Statistical analysis of price volatility of agricultural commodities traded at the Ethiopian commodity exchange (ECX) using multiplicative GARCH-MIDAS two-component model. Global Business Review, 0972150919895628.
2. Barcena, A., A. Bojanic and V. Villalobos. 2011. Price volatility in agricultural markets (2000-2010): implications for Latin America and policy options. In: Anonymous (Ed.), The Outlook for Agriculture and Rural Development in The Americas: A Perspective on Latin America and the Caribbean. Newsletter, 1:4-12
3. Bohl, M.T. and C. Sulewski. 2019. The impact of long-short speculators on the volatility of agricultural commodity futures prices. Journal of Commodity Markets, 16, 100085.
4. Bórawski, P., A. Belłdycka-Borawska and J. W. Dunn. 2018. Price volatility of Polish agricultural commodities in the view of the Common Agricultural Policy. Agricultural Economics, 64 (5): 216-226.
5. Čermák, M., K. Malec and M. Maitah. 2017. Price volatility modelling–wheat: GARCH model application. AGRIS on-line Papers in Economics and Informatics, 9(665-2018-3592), 15-24.
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