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LIVESTOCK BASIS FORECASTS: HOW BENEFICIAL IS THE INCLUSION OF CURRENT INFORMATION? AgEcon
Tonsor, Glynn T.; Dhuyvetter, Kevin C.; Mintert, James R..
Successful risk management strategies for agribusiness firms are contingent on the ability to accurately forecast basis. There has been substantial research on the actual use of basis forecasts, yet little research has been conducted on actually forecasting basis. This study evaluates the effect incorporating current basis information into a historical-average-based-forecast has on forecasting accuracy when forecasting live cattle and feeder cattle basis. Furthermore, the optimal weight to place on this current information is evaluated in an out-of-sample framework. Root mean squared errors are generated for both commodities and evaluated to determine the significance of these issues. Results suggest that livestock basis forecasters should consider...
Tipo: Conference Paper or Presentation Palavras-chave: Livestock prices; Hedging; Basis forecasts; Current information; Livestock Production/Industries; Marketing.
Ano: 2003 URL: http://purl.umn.edu/36022
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Improving Cattle Basis Forecasting AgEcon
Tonsor, Glynn T.; Dhuyvetter, Kevin C.; Mintert, James R..
Successful risk management strategies for agribusiness firms based on futures and options contracts are contingent on their ability to accurately forecast basis. This research addresses three primary questions as they relate to basis forecasting accuracy: (a) What is the impact of adopting a time-to-expiration approach, as compared to the more common calendar-date approach? (b) What is the optimal number of years to include in calculations when forecasting livestock basis using historical averages? and (c) What is the effect of incorporating current basis information into a historical-average-based forecast? Results indicate that use of the time-to-expiration approach has little impact on forecast accuracy compared to using a simple calendar approach, but...
Tipo: Journal Article Palavras-chave: Basis; Basis forecasts; Cattle prices; Current information; Hedging; Livestock Production/Industries.
Ano: 2004 URL: http://purl.umn.edu/31115
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Forecasting Crop Basis Using Historical Averages Supplemented with Current Market Information AgEcon
Taylor, Mykel R.; Dhuyvetter, Kevin C.; Kastens, Terry L..
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 Palavras-chave: Basis forecast; Crop basis; Current information; Naive forecast; Marketing.
Ano: 2006 URL: http://purl.umn.edu/8625
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