Abstract

This paper evaluates the effectiveness of Insurance-plus-Futures (IPF) programs in hedging grain price risk in China’s corn industry. Using data from four representative IPF models, the study assesses farmer income protection and hedging performance in futures markets. Results show that IPF models significantly mitigate income volatility, with the IPF-plus-Bank model offering the highest compensation rate. However, hedging effectiveness varies across models due to differences in market correlation and volatility. Notably, the integrated IPF-plus-Bank-and-Order model achieves the most robust risk-hedging efficiency by effectively anchoring basis risk. The findings highlight the importance of product design, pricing accuracy, and market infrastructure in enhancing agricultural risk management. The study offers policy insights for improving the scalability and efficiency of agricultural financial innovation.

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