2011
DOI: 10.48550/arxiv.1109.4859
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The Food Crises: A quantitative model of food prices including speculators and ethanol conversion

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Cited by 8 publications
(19 citation statements)
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“…In a paper published in September 2011, we constructed for the first time a dynamic model that quantitatively agreed with food prices [1]. The model was able to fit the FAO Food Price Index time series from January 2004 to March 2011, inclusive, and showed that the dominant causes of price increases during this period were investor speculation and ethanol conversion.…”
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confidence: 89%
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“…In a paper published in September 2011, we constructed for the first time a dynamic model that quantitatively agreed with food prices [1]. The model was able to fit the FAO Food Price Index time series from January 2004 to March 2011, inclusive, and showed that the dominant causes of price increases during this period were investor speculation and ethanol conversion.…”
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confidence: 89%
“…FIG. 1: Food prices and model simulations -The FAO Food Price Index (blue solid line) [2], the ethanol supply and demand model (blue dashed line), where dominant supply shocks are due to the conversion of corn to ethanol so that price changes are proportional to ethanol production (see [1], Appendix C) and the results of the speculator and ethanol model (green and red dotted lines), that adds speculator trend following and switching among investment markets, including commodities, equities and bonds (see [1], Appendices D and E). The green curve is the fit extended to the present with the original parameter values, the red curve is the fit with new optimized parameters.…”
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“…In earlier papers [7,[9][10][11][12][13] we have shown that high and spiking global food prices have triggered riots and revolutions, and warned that predicted future spikes in global food prices would lead to additional social unrest [7]. We constructed a quantitative model that identified the causes of the rises in global food prices to be biofuels, particularly the conversion of corn to ethanol in the U.S., and increased financial speculation in the agricultural commodities futures market [9].…”
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confidence: 99%