The Analysis of China CPI Trend Forecast Based on ARIMA Model

机译：基于Arima模型的中国CPI趋势预测分析

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The Consumer Price Index (CPI) is an index of price changes that is calculated based on the prices of products and services related to residents' lives. This paper selects China's latest monthly CPI data as the research object, and constructs an ARIMA (12, 1, and 20) model of autoregressive-rendered moving average. Based on the excellent model fitting effect, it successfully predicts future CPI trends. The effective implementation of price control policies at the macro level provides a quantitative basis.

机译：消费者价格指数（CPI）是根据与居民生命相关的产品和服务价格计算的价格变化指数。本文选择中国最新的每月CPI数据作为研究对象，并构建Arima（12,1和20）的自回归渲染移动平均水平。基于出色的模型拟合效果，它成功地预测了未来的CPI趋势。在宏观级别的价格控制政策的有效实施提供了定量的基础。

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来源
《International Conference on Management, Economics, Education and Social Sciences》|2018年|544p|共6页
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作者
Meizhen Liu; Chunmei Duan;
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原文格式 PDF
正文语种
中图分类 C93-53;
关键词
CPI; ARIMA; Forecast; Auto regression;

机译：CPI;Arima;预测;自动回归;

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机译：基于Arima模型的中国CPI趋势预测分析

The Analysis of China CPI Trend Forecast Based on ARIMA Model

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