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2021 | OriginalPaper | Chapter

Application of Grey Forecasting Model to CPI Index Forecast

Authors : Yifu Sheng, Jianjun Zhang, Wenwu Tan, Jiang Wu, Haijun Lin, Guang Sun

Published in: Advances in Artificial Intelligence and Security

Publisher: Springer International Publishing

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Abstract

The CPI index is the final price of social products and services. It is an important indicator for economic analysis and decision-making, monitoring and control of the overall price level, and national economic accounting. Because the CPI index is originally a univariate data indicator, in order to better predict the economic impact of the new coronavirus pneumonia by analyzing the CPI index, in this paper we chose the gray prediction model that has an excellent predictive effect on univariate data. Firstly, we got all CPI data from 2015 to 2019 from the Oriental Wealth Data Center. Secondly we predicted the CPI index for January, February, and March 2020 by using the gray prediction model. Thirdly, the trend of the forecast data was visualized with Python. Finally, the predicting result was compared with the real data, and the reason for the difference was analyzed.

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Metadata
Title
Application of Grey Forecasting Model to CPI Index Forecast
Authors
Yifu Sheng
Jianjun Zhang
Wenwu Tan
Jiang Wu
Haijun Lin
Guang Sun
Copyright Year
2021
Book
Advances in Artificial Intelligence and Security

Print ISBN: 978-3-030-78617-5

Electronic ISBN: 978-3-030-78618-2

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-78618-2_25

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