A Data Analytics Approach Based on VAR Model for Digital Trade
Authors: 
Guang Hu, Yuhao ChenAuthors Info & Claims
Guang Hu, Yuhao ChenAuthors Info & ClaimsPages 37 - 43
Abstract
Nowadays, the rapid development of digital trade drives the rise of digital trade platforms where the data analytics is a key function. For the data analytics function for the digital trade platform, this paper presents a data analytics approach based on vector autoregressive VAR model for the analysis on the influence factors of China's steel comprehensive price. In this paper, four variables, including comprehensive steel price, iron ore price, RMB exchange rate against US dollar and rebar price during the 14 years from 2005 to 2019, are selected to establish VAR model, and the relationship between the four variables is analyzed and the importance is compared. By analyzing the influencing factors of the comprehensive price of steel, this paper provides suggestions for the analysis of the trend of the comprehensive price of steel, the steel trade, and the management of the influencing factors of the comprehensive price of steel.
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Published In
November 2021
148 pages
ISBN:9781450387194
DOI:10.1145/3507524
Copyright © 2021 ACM.
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Association for Computing Machinery
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Published: 08 March 2022
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ICCBD 2021
ICCBD 2021: 2021 4th International Conference on Computing and Big Data
November 27 - 29, 2021
Wuhan, China
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