2014•Journal of Suzhou University of Science and TechnologyRequires access

Application of ARIMA model in the consumer price index prediction

Chen Ya

Abstract

In this paper,we applied the ARIMA model to the fitting and short term forecasting of the consumer price index. The monthly data of China consumer price index from January 2001 to October 2013 was adopted.With the aid of EViews 6.0 software,we fitted and analyzed the data,set up product season ARIMA(5,0,6)(1,1,0)12model. Then we discussed the accuracy of the model,and predicted China consumer price index in the future.The result shows that this model has great theoretical and practical value.

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Autoregressive integrated moving average, Index (typography), Consumer price index (South Africa), Econometrics, Price index, China, Set (abstract data type), Value (mathematics)