Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Research on The Influencing Factors of Stock Industry Based on Linear Regression Model

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  • @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
Weichu Wang1,*
  • 1: Lake Forest Academy Lake Forest
*Contact email: andrewwang20030826@gmail.com

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.