The 2006 spike in corn-based ethanol demand has contributed to the increase in basis volatility in corn and soybean markets across the United States, which has, to a significant degree, led to the observed large jumps in the prices of the two commodities. Despite the overall rise in basis volatility, there remain differences in the degree of volatility that exists across spatially separated markets, which might be caused by factors such as transportation costs, seasonality, and time-to-delivery. The focus of this study is threefold first, this work models basis data for six corn and soybean markets by using a multivariate GARCH model that incorporates the spatial linkages of these markets; next, the model is used to investigate whether the increase in ethanol demand has significantly aided in the rise of basis volatilities; and last, the spatio-temporal linkages among basis volatilities in different markets are examined under various scenarios of spot-price shocks.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Length: Date of creation: 2009 Date of revision: Handle: RePEc:ags:aaea09:49281
Contact details of provider: Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202 Phone: (414) 918-3190 Fax: (414) 276-3349 Email: Web page: http://www.aaea.org More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (AgEcon Search).
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
BAUWENS, Luc & LAURENT, SŽbastien & ROMBOUTS, Jeroen, 2003.
"Multivariate GARCH models: a survey,"
CORE Discussion Papers
2003031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
[Downloadable!]