000090657 001__ 90657
000090657 005__ 20181128184909.0
000090657 0247_ $$2Other$$a0738-8950
000090657 037__ $$a345-2016-15309
000090657 037__ $$a345-2016-15776
000090657 041__ $$aen
000090657 245__ $$aPredicting the Corn Basis in the Texas Triangle Area
000090657 260__ $$c2009
000090657 269__ $$a2009
000090657 300__ $$a15
000090657 336__ $$aJournal Article
000090657 520__ $$aShifting patterns of corn use as a result of the ethanol boom may be causing
basis levels to change across the United States, creating the need for methods to
predict basis levels in dynamic conditions. This study develops a new and
straightforward economic model of basis forecasting that outperforms the simple
three-year average method suggested in much of the literature. We use monthly
data of the corn basis in the Texas Triangle Area from February 1997 to July
2008. The results show the new model based on economic fundamentals
performs better than basis estimates using a three-year moving average.
000090657 542__ $$fLicense granted by laura  alfonso (lalfonso@uga.edu) on 2010-05-28T15:27:29Z (GMT):

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000090657 650__ $$aAgribusiness
000090657 650__ $$aMarketing
000090657 6531_ $$abasis
000090657 6531_ $$acorn
000090657 6531_ $$agrain marketing
000090657 6531_ $$aTexas Triangle Area
000090657 700__ $$aWelch, J. Mark
000090657 700__ $$aMkrtchyan, Vardan
000090657 700__ $$aPower, Gabriel J.
000090657 773__ $$dSpring/Fall 2009$$j 27$$k 1-2$$o63$$q49$$tJournal of Agribusiness
000090657 8564_ $$s905728$$uhttp://ageconsearch.umn.edu/record/90657/files/JAB_Spr-Fall09__04_pp49-63.pdf
000090657 887__ $$ahttp://purl.umn.edu/90657
000090657 909CO $$ooai:ageconsearch.umn.edu:90657$$pGLOBAL_SET
000090657 912__ $$nSubmitted by laura  alfonso (lalfonso@uga.edu) on 2010-05-28T15:30:09Z
No. of bitstreams: 1
JAB,Spr-Fall09,#04,pp49-63.pdf: 905728 bytes, checksum: 6916ebffe95b0ecef6d86ef369b32db3 (MD5)
000090657 912__ $$nMade available in DSpace on 2010-05-28T15:30:10Z (GMT). No. of bitstreams: 1
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  Previous issue date: 2009
000090657 982__ $$gJournal of Agribusiness>Volume 27, Numbers 1/2, Spring/Fall 2009
000090657 980__ $$a345