Degree Name

Master of Science

Department or Program

Agribusiness Economics


Sanders, Dwight R


The objective of this study was to analyze the effect of the percent change in U.S. corn ending stocks and the world feed grain ending stocks had on the percent change of October monthly average corn prices. The research used a regression model with corn prices as the dependent variable and U.S. corn ending stocks and world feed grains ending stocks as the independent variables. The model showed U.S. corn ending stocks to have the larger effect on corn price variation, and the two variables combined to account for roughly 49% of the variation in the dependent variable. This research builds on prior knowledge of corn price movement highlighting that U.S. corn ending stocks plays a large role. Producers, analysts, and traders alike can all use this information to further their understanding of corn price variation as well as improve marketing strategies.