TITLE:
The Research on Influencing Factors of Stock Price Fluctuation of Listed Companies in China Based on PCA-Multiple Regression
AUTHORS:
Yan Ma
KEYWORDS:
Stock Price, Financial Indicators, Panel Data, Principal Component Regression
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.9 No.3,
March
24,
2021
ABSTRACT: Taking the transportation industry as an example, aiming
at the research problem of influencing factors of stock price
fluctuation of listed companies in China, this paper selects 70 listed
companies from A-share companies of Shanghai Stock Exchange, eliminates ST
companies and companies with incomplete data, and takes the average closing
price of each trading day of the remaining 63 listed companies from May 1 to
June 30, 2020 as the explanatory variable. After that, the principal component
comprehensive evaluation method is used to calculate the main factors affecting
the stock price fluctuation of listed companies in the transportation industry
as the explanatory variable. Eviews9.0
was used to carry out multiple linear regression analysis on the data, and the
analysis results showed that the index data related to debt paying ability,
asset appreciation ability and profitability were important factors affecting
the stock price fluctuations of the listed companies in the transportation
industry.