We study the difference in the volatility dynamics of CBOT corn, soybeans, and oatsfutures prices across different delivery horizons via the smoothed Bayesian estimatorof Karali, Dorfman, and Thurman (2010). We show that the futures price volatilitiesin these markets are affected by the...

We formulate and estimate a farm level simulation model of agricultural crop production, and apply it to a scenario with increasing yield variability. The objective function is of the mean-variance utility type with a positive mathematical programming (PMP) cost function, and it is estimated...

Managers of businesses that involve agricultural commodities need price forecasts in order to manage the risk in either the sale or purchase of agricultural commodities. Sometimes the most important forecasting component is simply whether the price will move up or down. Such binary forecasts are...

We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices across different delivery horizons via the smoothed Bayesian estimator of Karali, Dorfman, and Thurman (2010). We show that the futures price volatilities in these markets are affected by the...

Hedging is one of the most important risk management decisions that farmers make and has a potentially large role in the level of profit eventually earned from farming. Using panel data from a survey of Georgia farmers that recorded their hedging decisions for 4 years on four crops, we examine...