This study examines short-run and long-run unbiasedness within the U.S. rice futures market. Standard OLS, cointegration, and error-correction models are used to determine unbiasedness. In addition, the forecasting performance of the rice futures market is analyzed and compared to out-of-sample...

The spatial rice price relationships for U.S. long grain rough rice are affected by many factors besides the transportation cost between markets, such as milling, processing, cooking and nutritional value as well as physical characteristics. This study applies a time series framework to analyze...

Commodity futures markets carry out two important marketing functions with respect to agricultural products: (1) a price discovery role and (2) a price risk management role. The relative effectiveness with which futures markets fulfill these two roles is dependent on the efficiency of the...

Predominance of production and marketing contracts in the broiler industry suggests a traditional analysis of price relationships might no longer be appropriate. In this study, markets for broiler cuts are defined as spatial. Results of VAR analysis of monthly USDA data from 1987-2000 verify the...

Predominance of production and marketing contracts in the broiler industry suggests a traditional analysis of price relationships might no longer be appropriate. In this study, markets for broiler cuts are defined as spatial. Results of a vector autoregressive regression analysis of monthly USDA...

Tariff escalation is an important aspect of protection for domestic milling industries, particularly in Central America. The United States exports over 40 percent of its rice as paddy. This study uses a spatial equilibrium trade model to evaluate the impacts of tariff escalation on U.S. and...