An Examination of the Causal Relationship Between Rainfall and Crop Prices: A Focus on Wheat and Corn.

Description

Group project for CS418 @ UIC (University of Illinois at Chicago) for A.Y. 2024/2025. Investigating whether analysis of weather data of major corn producers States in the U.S. can lead to informed prediction of future corn prices. Please refer to the docs/ folder for more detailed information.

Reproduce results

To reproduce these results, import project on Google Drive, unzip data.zip and run notebook

Conclusion

A relation between weather in major corn produces in the U.S. and can be exploited to predict corn prices. Our model exhibts a R²=0.98 and a Directional accuracy = 0.76.