摘要
在经济运行过程中,CPI的波动会受到各种因素的影响,而且影响时间、影响程度和影响方式复杂多变。文章选取2007-2014年我国CPI月度数据,通过平稳性检验和差分处理,建立GARCH-M模型。结果表明:我国居民消费者价格指数具有明显的波动聚集性和不对称性,GARCH-M模型能较好地拟合和预测我国CPI波动情况。
In the course of economic operation, the fluctuation of CPI will he influenced by various factors. In this paper,we use a GARCH-M model to analyze and foreeast the short-time CPl,which was based on the monthly data from 2007 to 2014. Meanwhile,we use the stationary test and differential treatment to inspect their natures. It is found that the CPI has autoregressive conditional heteroskedasticity,the volatility clustering.This GARCH-M model model adequately describes the Chinese CPI fluctuation and forecasts the future CPI.
出处
《江苏科技信息》
2015年第34期79-80,共2页
Jiangsu Science and Technology Information
基金
南京工业职业技术学院科研基金项目
项目名称:我国CPI波动的建模与预测分析
项目编号:YK12-07-03
