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| Mastel, Mike; Buschena, David E.. |
| The performance of the grain transportation industry, historically low real grain prices, and decreasing government support for grain prices have renewed interest in local grain prices and shipping costs. An understanding of the relationship between local cash prices and futures prices is an important part of minimizing the price risk associated with growing and merchandising grain. The ability to recognize the seasonal patterns between these prices offers improved profit potential for marketing grain. A Montana producer's decision of when and how to market his/her crop can have a great impact on net profit. Farm managers can use cash sales at or after harvest, forward contracting with a local grain elevator, or hedging with the use of futures and options... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Grain marketing; Futures; Basis; Freight rates; Marketing strategies; Marketing; Q1. |
| Ano: 2000 |
URL: http://purl.umn.edu/29176 |
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| Johnson, D. Demcey; Lin, William W.. |
| StarLink corn, a variety not approved for human use, disrupted the marketing system in 2000 because of inadvertent commingling. This paper provides an overview of the economics of testing grain for biotech content. What are the risks facing buyers and sellers, and how are these influenced by testing protocols? How do market premiums and discounts, testing costs, and prior beliefs affect the incentives to test? A conceptual model is developed in which sellers choose whether to pre-test grain prior to shipment. Through simulation analysis, we illustrate the impact of market premiums and other variables on testing incentives and buyer risk. |
| Tipo: Journal Article |
Palavras-chave: Biotechnology; Grain marketing; Quality risk; StarLink; Testing; Crop Production/Industries. |
| Ano: 2005 |
URL: http://purl.umn.edu/31220 |
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| Welch, J. Mark; Mkrtchyan, Vardan; Power, Gabriel J.. |
| Shifting 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. |
| Tipo: Journal Article |
Palavras-chave: Basis; Corn; Grain marketing; Texas Triangle Area; Agribusiness; Marketing. |
| Ano: 2009 |
URL: http://purl.umn.edu/90657 |
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