Proceedings of the 2018 International Conference on Management, Economics, Education and Social Sciences (MEESS 2018)

The Analysis of China CPI Trend Forecast Based on ARIMA Model

Authors
Meizhen Liu, Chunmei Duan
Corresponding Author
Meizhen Liu
Available Online August 2018.
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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Volume Title
Proceedings of the 2018 International Conference on Management, Economics, Education and Social Sciences (MEESS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2018
ISBN
978-94-6252-550-4
ISSN
2352-5398
DOI
10.2991/meess-18.2018.18How to use a DOI?
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/).

Cite this article

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  -