Open AccessResearch on Multiple Linear Regression of Stock Investment Value based on the Empirical Analysis of the A-share Pharmaceutical Industry in Shanghai and Shenzhen Stock Markets
Author(s) -
Hongwen Song,
Li Han
Publication year - 2021
Publication title -
bcp business and management
Language(s) - English
Resource type - Journals
ISSN - 2692-6156
DOI - 10.54691/bcpbm.v15i.208
Subject(s) - earnings per share , business , stock (firearms) , earnings , regression analysis , stock market , investment (military) , econometrics , empirical research , financial economics , finance , economics , statistics , mechanical engineering , paleontology , mathematics , horse , engineering , biology , politics , political science , law
This paper selects 30 listed companies in the A-share pharmaceutical industry in Shanghai and Shenzhen stock markets and 17 financial indicators. Through the extraction of common factors of financial indicators, multiple linear regression models are used to determine the company’s residual earnings per share and the company’s various capabilities. The results show that the company’s ability to develop has the greatest impact on the company’s residual earnings per share. It also proves the importance of the company’s fundamental analysis and provides a basis for small and medium investors to make real value investments.