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Provedor de dados:  AgEcon
País:  United States
Título:  Forecasting Crop Basis Using Historical Averages Supplemented with Current Market Information
Autores:  Taylor, Mykel R.
Dhuyvetter, Kevin C.
Kastens, Terry L.
Data:  2007-09-17
Ano:  2006
Palavras-chave:  Basis forecast
Crop basis
Current information
Naive forecast
Marketing
Resumo:  This research compares practical methods of forecasting basis, using current market information for wheat, soybeans, corn, and milo (grain sorghum) in Kansas. Though generally not statistically superior, an historical one-year average was optimal for corn, milo, and soybean harvest and post-harvest basis forecasts. A one-year average was also best for wheat post-harvest basis forecasts, whereas a five-year average was the best method for forecasting wheat harvest basis. Incorporating current market information, defined as basis deviation from historical average, improved the accuracy of post-harvest basis forecasts. A naive forecast incorporating current information was often the most accurate for post-harvest basis forecasts.
Tipo:  Journal Article
Idioma:  Inglês
Identificador:  28023

http://purl.umn.edu/8625
Editor:  AgEcon Search
Relação:  Journal of Agricultural and Resource Economics>Volume 31, Number 03, December 2006
Formato:  19

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