期刊名称：International Journal of Energy Economics and Policy
电子版ISSN：2146-4553
出版年度：2016
卷号：6
期号：1
页码：58-64
语种：English
出版社：EconJournals
摘要：The purpose of this paper is to investigate the relationships between crude oil futures and agricultural grain commodities futures for soybeans, wheat and corn. Daily data for soybeans, wheat and corn are collected from Chicago Board of Trade (CBOT) and crude oil from New York Mercantile Exchange (NYMEX). The time period covered in this study extends from January 3, 2006 to February 22, 2012. In order to detect the relationships between crude oil and agriculture grain commodities futures, we apply the Vector Autoregression (VAR) model. From the VAR model, the change in each of agriculture grain commodities is significantly influenced by the change in the crude oil and other agriculture grain commodities. Keywords: Crude oil futures, Agricultural grain commodities futures, Granger causality, VAR. JEL Classifications: C58, G13, Q43, Q56.
其他摘要：The purpose of this paper is to investigate the relationships between crude oil futures and agricultural grain commodities futures for soybeans, wheat and corn. Daily data for soybeans, wheat and corn are collected from Chicago Board of Trade (CBOT) and crude oil from New York Mercantile Exchange (NYMEX). The time period covered in this study extends from January 3, 2006 to February 22, 2012. In order to detect the relationships between crude oil and agriculture grain commodities futures, we apply the Vector Autoregression (VAR) model. From the VAR model, the change in each of agriculture grain commodities is significantly influenced by the change in the crude oil and other agriculture grain commodities. Keywords: Crude oil futures, Agricultural grain commodities futures, Granger causality, VAR. JEL Classifications: C58, G13, Q43, Q56.
