USING SOME MACHINE LEARNING METHODS FOR TIME SERIES FORECASTING

Thị Hồng Thảo Nguyễn , Thanh Nguyên Vũ , Minh Châu Đào

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Abstract

Gold is considered critical in the economy, especially in assessing the inflation index of the economy. Several machine learning methods were applied  in time series data using ARIMA and SARIMA models to forecast future gold prices. We conducted a series of experiments and evaluated the proposed models as well as analyzing the factor variables of time series to find the best results to increase predictive performance.

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References

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