Corn futures price forecast based on Arima time series and support vector machine
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Wu Shengchao, Shao Fengjing, Sun Rencheng
This paper applies arima time series and support vector machine combination to predict corn futures prices. At present, when the price forecast is made on the Chinese futures market, the data is unstable. Since linear prediction or nonlinear prediction alone cannot flexibly deal with corn futures price forecasting problems, the combination forecasting of Arima time series and support vector machine has a prominent advantage in dealing with price forecasting problems.
Arima Time Series, Corn Futures Price