The Analysis of China CPI Trend Forecast Based on ARIMA Model

DOI

10.2991/meess-18.2018.18How to use a DOI?

Keywords

CPI, ARIMA, forecast, autoregression.

Abstract

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Meizhen Liu
AU  - Chunmei Duan
PY  - 2018/08
DA  - 2018/08
TI  - The Analysis of China CPI Trend Forecast Based on ARIMA Model
BT  - Proceedings of the 2018 International Conference on Management, Economics, Education and Social Sciences (MEESS 2018)
PB  - Atlantis Press
SP  - 92
EP  - 97
SN  - 2352-5398
UR  - https://doi.org/10.2991/meess-18.2018.18
DO  - 10.2991/meess-18.2018.18
ID  - Liu2018/08
ER  -