Abstract

SummaryArtificial intelligence is widely believed to reshape many industries in the future. This paper analyzes the chaotic characteristics of Chinese export price index, exchange rate data, and studies the predictive ability of the neural network model in exchange rate passthrough (ERPT) prediction. The Hermite neural network model, one of artificial intelligence models, is selected to forecast the rate of pass‐through effect. Hermite neural network model demonstrates a superior forecasting accuracy, and its forecasting error is less than that of the general neural network model.

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