Research 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
DOI:
https://doi.org/10.54691/bcpbm.v15i.208Keywords:
Stock Value; Factor Analysis; Multiple Linear Regression; Common Factors; Small and Medium Investors.Abstract
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.
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References
Guo Qixing. Research on the valuation of A-share pharmaceutical industry based on Ohlson model[D]. Yunnan University of Finance and Economics, 2016.
Cheng Haibo. Research on the logit model of stock investment value--An empirical analysis of the Shanghai A-share manufacturing industry [A]. China Accounting Association. Proceedings of the 2009 Academic Annual Conference of the Financial Management Professional Committee of China Accounting Association [C]. China Accounting Association: China Accounting Association, 2009: 8.
He Ping, Lan Wei, Ding Yue. Can my country’s stock market be predicted? --Based on the perspective of the combined LASSO-logistic method [J]. Statistical Research, 2021, 38(05): 82-96.
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