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Registros recuperados: 11 | |
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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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Taylor, Mykel R.; Dhuyvetter, Kevin C.; Kastens, Terry L.. |
Being able to accurately predict basis is critical for making marketing and management decisions. Basis forecasts can be used along with futures prices to provide cash price projections. Additionally, basis forecasts are needed to evaluate hedging opportunities. Many studies have examined factors affecting basis but few have explicitly examined the ability to forecast basis. Studies have shown basis forecasts based on simple historical averages compare favorably with more complex forecasting models. However, these studies typically have considered only a 3-year historical average for forecasting basis. This research compares practical methods of forecasting basis for wheat, soybeans, corn, and milo (grain sorghum) in Kansas. Across most of the... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Marketing. |
Ano: 2004 |
URL: http://purl.umn.edu/19022 |
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Belasco, Eric J.; Taylor, Mykel R.; Goodwin, Barry K.; Schroeder, Ted C.. |
Cattle feeding enterprises operate amid variability originating in prices and production. This research explicitly models yield risks related to cattle feeding by relating the mean and variance of yield performance factors to observable conditioning variables. The results demonstrate that pen characteristics, such as entry weight, gender, placement season, and location influence the mean and variability of yield factors, defined as dry matter feed conversion, average daily gain, mortality, and animal health costs. Ex ante profit distributions, conditional on cattle placement characteristics, are derived through simulation methods to evaluate the effects of price or yield shocks on the distributional characteristics of expected profits. |
Tipo: Journal Article |
Palavras-chave: Conditional variance; Production risk; Cattle feeding; Yields; Agribusiness; Livestock Production/Industries; Production Economics; Productivity Analysis; Risk and Uncertainty; D24; D81; Q12. |
Ano: 2009 |
URL: http://purl.umn.edu/48761 |
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Taylor, Mykel R.; Dhuyvetter, Kevin C.; Kastens, Terry L.; Douthit, Megan; Marsh, Thomas L.. |
This study estimates the price determinants of show quality quarter horses sold at auction. Several characteristics including genetic and physical traits, quality of pedigree, and performance record of the horse, as well as the horse's offspring, were found to significantly impact selling price. Sale order positively affected price and appears to be driven by buyers rather than intentional ordering of the horses. A common practice at horse auctions is for the seller to reject the final bid offered and buy back the horse. Model-predicted prices for these buy-back horses indicate they are not undervalued by the final bids, based on their characteristics. |
Tipo: Journal Article |
Palavras-chave: Auction; Equine; Hedonic pricing; Quarter horses; Demand and Price Analysis. |
Ano: 2006 |
URL: http://purl.umn.edu/8631 |
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Piggott, Nicholas E.; Taylor, Mykel R.; Kuchler, Fred. |
The potential impacts of a food safety event on consumer demand for meat is of significant concern to producers, packers, processors, retail businesses, and the USDA. This study investigates whether publicized food safety information from the printed media on beef, pork, and poultry, impacts the demand for these commodities. A four commodity complete demand system is employed using monthly household level data on meat purchases collected by the Nielsen Company, with separate food safety indices incorporated for beef, pork, and poultry. Results from the analysis indicate that consumers purchase relatively high levels of pre-committed quantities of pork, chicken, and turkey, while beef consumption appears to be primarily from supernumerary expenditures.... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Demand and Price Analysis; Food Consumption/Nutrition/Food Safety. |
Ano: 2007 |
URL: http://purl.umn.edu/9752 |
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Registros recuperados: 11 | |
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