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>The Research on Influencing Factors of Stock Price Fluctuation of Listed Companies in China Based on PCA-Multiple Regression
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The Research on Influencing Factors of Stock Price Fluctuation of Listed Companies in China Based on PCA-Multiple Regression
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.
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