Abstract

Time series is a series of data obtained in chronological order. Future values of most time series can be forecasted according to current values and past values. The EViews software is a software package specifically designed to process time series data. Autoregressive Integrated Moving Average (ARIMA) model, a time series forecast method, can be achieved with the EViews software. Based on the EViews software, the forecast procedure with ARIMA model is illustrated in this work. As an example, the Gross Domestic Product (GDP) of China is forecasted from 2016 to 2018.

Details

Title
ARIMA model forecast based on EViews software
Author
Ma, Lihua 1 ; Hu, Chao 1 ; Lin, Rongchao 1 ; Han, Yanben 1 

 National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China. 
Publication year
2018
Publication date
Dec 2018
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2559443807
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.