Each year producers must make risk management decisions early in the growing season when many variables are unknown. In this thesis, we create an empirical model utilizing thirty years (1989-2018) of historical yield, cost, and daily price series data, to determine the optimal risk management strategy from multiple crop insurance contracts and six different intra-season grain marketing plans that both minimize net income risk and maximize average net income.
An online educational tool has been developed allowing producers to compare and contrast hedging plans using different parameters such as marketing percent and days between marketing, to name a few. The discussion will focus on the approach and the online tool.
|Conference||2023 Extension Risk Management Education National Conference|
|Presentation Type||30 minute concurrent session|