Three marketing strategies (selling a put option, cash sale at harvest, and cash sale in June) are simulated based on historical values and ranked based on certainty equivalents for a representative irrigated and dryland cotton farm Scenario analysis is also used to compare varying yield values
A non-parametric simulation model incorporating price risk determined gross revenue less risk manage...
While grain marketing is considered a difficult challenge facing producers every year, it represents...
Recent changes in farm programs, cotton supply and demand fundamentals, and cotton price patterns ha...
A detailed whole-farm simulation model capable of simulating stochastic daily cash and futures price...
An expected utility model and a chance constrained linear programming model were used to analyze fou...
With the 1 ifting of the ban on commodity options, in 1983, new alternatives for marketing soybeans ...
This study is a simulation that tests whether Kansas wheat, corn, milo (grain sorghum), and soybean ...
Producers in southwest Oklahoma lack adequate information about optimal planting decisions for cotto...
Cotton producers are faced with a changing market environment, making it necessary to decrease the v...
The commodity production sector has at-tempted to manage price risk through the use of futures and o...
This study concerns the analysis of marketing strategies for Arizona cotton producers. Cash sale, fo...
This study focuses on managing cotton production and marketing risks using combinations of irrigatio...
Typescript (photocopy).Options on cotton futures provide a new risk management strategy for cotton p...
A non-parametric simulation model incorporating price risk determined gross revenue less risk manage...
An expected-utility model and a chance-constrained linear programming model were used to analyze fou...
A non-parametric simulation model incorporating price risk determined gross revenue less risk manage...
While grain marketing is considered a difficult challenge facing producers every year, it represents...
Recent changes in farm programs, cotton supply and demand fundamentals, and cotton price patterns ha...
A detailed whole-farm simulation model capable of simulating stochastic daily cash and futures price...
An expected utility model and a chance constrained linear programming model were used to analyze fou...
With the 1 ifting of the ban on commodity options, in 1983, new alternatives for marketing soybeans ...
This study is a simulation that tests whether Kansas wheat, corn, milo (grain sorghum), and soybean ...
Producers in southwest Oklahoma lack adequate information about optimal planting decisions for cotto...
Cotton producers are faced with a changing market environment, making it necessary to decrease the v...
The commodity production sector has at-tempted to manage price risk through the use of futures and o...
This study concerns the analysis of marketing strategies for Arizona cotton producers. Cash sale, fo...
This study focuses on managing cotton production and marketing risks using combinations of irrigatio...
Typescript (photocopy).Options on cotton futures provide a new risk management strategy for cotton p...
A non-parametric simulation model incorporating price risk determined gross revenue less risk manage...
An expected-utility model and a chance-constrained linear programming model were used to analyze fou...
A non-parametric simulation model incorporating price risk determined gross revenue less risk manage...
While grain marketing is considered a difficult challenge facing producers every year, it represents...
Recent changes in farm programs, cotton supply and demand fundamentals, and cotton price patterns ha...
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