Title :
Study on forecast model of CRCP index in China
Author :
Cai Yun ; Zheng Kai ; Liu Jing
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing, China
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.
Keywords :
coal; forecasting theory; mining industry; pricing; time series; CRCP price index sequence; China economic development; coking coal price index prediction model; forecast model; stationary time series; statistical software; strategic resource; time series model method; Analytical models; Autoregressive processes; Coal; Correlation; Indexes; Predictive models; Time series analysis; ARIMA model; analysis of time series; coking coal price index; forecast model;
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3133-0
DOI :
10.1109/ICSSSM.2014.6943362
