Research Article
Research on The Influencing Factors of Stock Industry Based on Linear Regression Model
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322653, author={Weichu Wang}, title={Research on The Influencing Factors of Stock Industry Based on Linear Regression Model}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={linear regression model cpi; s\&p500 interest rate}, doi={10.4108/eai.17-6-2022.2322653} }- Weichu Wang
Year: 2022
Research on The Influencing Factors of Stock Industry Based on Linear Regression Model
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322653
Abstract
With the development of society, people's living standards are constantly improving. The price model of farm products is strongly connected to fluctuations in the cost of the food & processing industry as a whole. This paper selects stock prices of COFCO, China Oil and Foodstuffs Corporation and CPI of Chin, the S&P 500 index, from macrotrends. All the variables mentioned above range from 2018 May to 2019 September with a monthly interval. Based on the above data and variables, use a linear regression model to study the relationship between stock prices and other independent variables. The results show that both the Standard & Poor's 500 Index and the Consumer Price Index have a certain impact on the COFCO, and the positive and negative impacts are different.
