Modeling Food Price Spikes with Speculation and Ethanol Demand

Summary

The document presents a dynamic quantitative model intended to explain food price movements by combining supply and demand with investor behavior and corn-to-ethanol conversion. It argues that supply-and-demand explanations alone do not match the observed price dynamics. In the model, trend-following investors and shifts among commodities, equities, and bonds affect commodity prices, while ethanol conversion adds persistent demand pressure.

The authors attribute the sharp food price peaks in 2007/2008 and 2010/2011 to speculative investment, and the longer upward movement to ethanol demand. They also examine how granaries set prices to challenge the claim that speculators cannot influence grain prices. The document links both proposed drivers to regulatory changes and policies, but provides no model equations, data details, parameter estimates, or independent validation in this summary. Its causal conclusions should therefore be read as claims of the study rather than settled findings; the excerpt also does not quantify the relative contribution of each mechanism.

Key ideas

• The proposed model combines food supply and demand with investor behavior and ethanol conversion.
• Trend-following and allocation shifts across asset classes are modeled as channels through which speculation affects commodity prices.
• The study attributes two sharp price peaks to speculation and a persistent upward trend to ethanol-related demand.
• The authors argue that supply-and-demand-only models do not reproduce the price dynamics they examine.

Tags

# The Food Crises: A quantitative model of food prices including speculators and ethanol conversion


# The Food Crises: A quantitative model of food prices including speculators and ethanol conversion









Recent increases in basic food prices are severely impacting vulnerable populations worldwide. Proposed causes such as shortages of grain due to adverse weather, increasing meat consumption in China and India, conversion of corn to ethanol in the US, and investor speculation on commodity markets lead to widely differing implications for policy. A lack of clarity about which factors are responsible reinforces policy inaction. Here, for the first time, we construct a dynamic model that quantitatively agrees with food prices. The results show that the dominant causes of price increases are investor speculation and ethanol conversion. Models that just treat supply and demand are not consistent with the actual price dynamics. The two sharp peaks in 2007/2008 and 2010/2011 are specifically due to investor speculation, while an underlying upward trend is due to increasing demand from ethanol conversion. The model includes investor trend following as well as shifting between commodities, equities and bonds to take advantage of increased expected returns. Claims that speculators cannot influence grain prices are shown to be invalid by direct analysis of price setting practices of granaries. Both causes of price increase, speculative investment and ethanol conversion, are promoted by recent regulatory changes---deregulation of the commodity markets, and policies promoting the conversion of corn to ethanol. Rapid action is needed to reduce the impacts of the price increases on global hunger.

Shown in full with attribution under the source's licence. Licence: abstract CC0

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.