CEU Credits: 0.5
Growing Profits: Unlocking Farm Potential with Data-Driven Risk Management Models
Farming is an inherently risky business, where small fluctuations in price or yield can have a big impact on profitability. As a result, risk management is extremely important to mitigate unfavorable outcomes. Stephanie Rempe has been working on a joint research project with Old’s College and industry partner Algo-Rythmn Corp, to develop a farm risk-management model that provides producers with optimal hedging strategies to increase farm profitability while correspondingly limiting their downside risk. During her presentation she will describe the methodology behind her model, give a model demonstration, and speak about its farm level applications.
Stephanie Rempe, Quantitative Analyst, Algo-Rhythm Corp
Stephanie Rempe is a quantitative analyst at Algo-Rythmn Corp who specializes in the application of analytics to deliver innovative, data-driven solutions. In 2020, Stephanie graduated from Brown University with a Bachelor of Science in Mechanical Engineering, and is currently pursuing her Chartered Financial Analyst (CFA) designation.
In 2022, Stephanie was a selected recipient of the Mitacs Accelerate Grant, a year-long paid internship where she worked with both an academic institution (Olds College) and an industry partner (Algo-Rythmn Corp) on a joint research project. Stephanie’s project focused on exploring quantitative solutions to farm risk management and resulted in (i) the publication of an academic paper, and (ii) the development of a farm risk-management model.