Study on forecast model of CRCP index in China

Cai Yun, Zheng Kai, L. Jing
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引用次数: 2

Abstract

Coking coal plays a vital role in China's economic development as an important strategic resource. The article builds the coking coal price index prediction model by the method of time series model, using statistical software, Eviews6.0. The result shows that the CRCP price index sequence is stationary time series after the first order difference, and the model of ARIMA (2, 1, 3) is better to forecast.
中国CRCP指数预测模型研究
炼焦煤作为一种重要的战略资源,在中国经济发展中起着至关重要的作用。本文利用统计软件Eviews6.0,采用时间序列模型的方法建立了炼焦煤价格指数预测模型。结果表明,CRCP价格指数序列经一阶差分后为平稳时间序列,ARIMA(2,1,3)模型具有较好的预测效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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