The Spillover Effect of Agricultural Product Market Price Fluctuation Based on Fourier Analysis

The stability of the original spillover effect model of agricultural product market price volatility is poor, resulting in the low degree of fitting between the results and the actual situation. In order to further clarify the spillover effect of agricultural product market price volatility, a research method of spillover effect of agricultural product market price volatility based on Fourier analysis is proposed. The authors collect sample data, eliminate missing data, and complete data storage. Wavelet transform is used to reduce the noise of the sample data, Fourier analysis is used to reconstruct the sample data, and the data with high degree of discretization is aggregated to output the data preprocessing results. The experimental results show that the method has strong anti-interference ability, good stability, high fitting degree between the results and the actual, and has reliability.