| Registro completo |
| Provedor de dados: |
AgEcon
|
| País: |
United States
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| Título: |
Improving Feeder Cattle Basis Forecasts
|
| Autores: |
Dhuyvetter, Kevin C.
Swanser, Kole
Kastens, Terry L.
Mintert, James R.
Crosby, Brett
|
| Data: |
2008-06-27
|
| Ano: |
2008
|
| Palavras-chave: |
Basis
Basis forecasts
Cattle prices
Feeder cattle
Hedging
Price risk management
Agricultural Finance
Demand and Price Analysis
Farm Management
Livestock Production/Industries
Marketing
Risk and Uncertainty
|
| Resumo: |
Forecasting feeder cattle basis has long been difficult because of the myriad factors that influence basis, including input and output prices and lot characteristics. This research draws upon knowledge of the various factors that influence cash feeder cattle prices to develop hedonic feeder cattle basis models. Out-of-sample test results provide strong evidence that these hedonic models predict basis more accurately than the multi-year average forecasting approach commonly used by livestock producers. Results from this research were used to develop a web tool funded by USDA's Risk Management Agency (BeefBasis.com) that producers can use to forecast and understand feeder cattle basis.
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
|
| Identificador: |
http://purl.umn.edu/42302
|
| Relação: |
Western Agricultural Economics Association>2008 Annual Meeting, June 23-24, 2008, Big Sky, Montana
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