{"title":"Research on The Influencing Factors of Stock Industry Based on Linear Regression Model","authors":"Weichuan Wang","doi":"10.4108/eai.17-6-2022.2322653","DOIUrl":null,"url":null,"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.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eai.17-6-2022.2322653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.