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来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Food versus Fuel: Causality and Predictability in Distribution
Andrea Bastianin; Marzio Galeotti; Matteo Manera
发表日期2013
出处Energy: Resources and Markets
出版年2013
语种英语
摘要This paper examines the relationship between biofuels and commodity food prices in the U.S. from a new perspective. While a large body of literature has tried to explain the linkages between sample means and volatilities associated with ethanol and agricultural price returns, little is known about their whole distributions. We focus on predictability in distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice versa. Density forecasts are constructed using Conditional Autoregressive Expectile models estimated with Asymmetric Least Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest to the analyst. Results show that both the centre and the left tail of the ethanol returns distribution can be predicted by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of the field crops distribution. Suggested citation: Andrea Bastianin, Marzio Galeotti, Matteo Manera, Causality and predictability in distribution: The ethanol–food price relation revisited, Energy Economics, Volume 42, March 2014, Pages 152-160, ISSN 0140-9883, http://dx.doi.org/10.1016/j.eneco.2013.12.014
特色分类C22;C53;Q13;Q42;Q47
关键词Biofuels Ethanol Field Crops Density Forecasting Granger Causality Quantiles
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/food-versus-fuel-causality-and-predictability-in-distribution/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118152
推荐引用方式
GB/T 7714
Andrea Bastianin,Marzio Galeotti,Matteo Manera. Food versus Fuel: Causality and Predictability in Distribution. 2013.
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