WP 2001-06 June 2001A rational expectations storage model is used to simulate monthly corn prices, which are used to evaluate marketing strategies to manage price risk. The data are generated and analyzed in two formats: for long-run outcomes over 10,000 “years” of monthly prices and for 10,000 cases of 40-year “lifetimes.” Three categories of strategies are analyzed: frequency of post-harvest cash sales, unconditional hedges, and conditional hedges. The comparisons are based on the simulated probability distributions of net returns. One conclusion is that diversifying cash sales, without hedging, is not an efficient means of risk management. Unhedged storage does not reduce risk and, on average, reduces returns. The analysis of the 40- yea...
4 pp.The marketing time frame for crops can be divided into three parts--pre-harvest, harvest and po...
Farmers should include risk and uncertainty in their integrated marketing-management-financial plan,...
The decade of the 1970\u27s has been one with highly volatile farm prices. This increased price vari...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
This study simulates whether Kansas wheat, soybean, corn, and milo producers could have profitably u...
The Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The mo...
This thesis research evaluates post-harvest grain marketing strategies such as basis trading and bas...
WP 2000-17 December 2000A structural model is developed to simulate the probability distributions of...
4 pp.The marketing time frame for crops can be divided into three parts--pre-harvest, harvest and po...
White corn garners a premium over commodity corn, but suffers from additional price risk and yield d...
4 pp.The marketing time frame for crops can be divided into three parts--pre-harvest, harvest and po...
Farmers should include risk and uncertainty in their integrated marketing-management-financial plan,...
The decade of the 1970\u27s has been one with highly volatile farm prices. This increased price vari...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
A rational expectations storage model is used to simulate monthly corn prices, which are used to eva...
This study simulates whether Kansas wheat, soybean, corn, and milo producers could have profitably u...
The Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The mo...
This thesis research evaluates post-harvest grain marketing strategies such as basis trading and bas...
WP 2000-17 December 2000A structural model is developed to simulate the probability distributions of...
4 pp.The marketing time frame for crops can be divided into three parts--pre-harvest, harvest and po...
White corn garners a premium over commodity corn, but suffers from additional price risk and yield d...
4 pp.The marketing time frame for crops can be divided into three parts--pre-harvest, harvest and po...
Farmers should include risk and uncertainty in their integrated marketing-management-financial plan,...
The decade of the 1970\u27s has been one with highly volatile farm prices. This increased price vari...