An Empirical Study On The Relationship Between Corporate Financial Indicator Data, R&D Innovation Data And Stock Price

For information technology companies,R&D and innovation-related data can reflect the company's own level of technological innovation,such as the degree of attention to its own R&D innovation,the company's investment in R&D innovation,the company's self-innovation ability,and the company's sustainable development ability.Understand the future development potential of information technology enterprises.The financial indicators of an enterprise have always been an important component that cannot be ignored in terms of reflecting the operation and profitability of an enterprise.It can reflect the actual operating results and financial status of listed companies and is an important basis for measuring the state of business development of an enterprise.Disclosure of corporate financial indicators is beneficial for investors from different classes in the capital market for analysis and reference,especially for general investors,their investment in the stock market is largely based on relevant data disclosed by listed companies.The pursuit of capital by companies is also reflected in stock prices.The disclosure of corporate financial indicators and R&D innovation data also affects investors' mentality and changes in stock prices.Because the relevant data of listed companies are generally disclosed online,investors can check and download the financial indicator data and R&D innovation data disclosed by the company online.Therefore,investors can analyze these data after obtaining relevant data,so as to screen out more information technology enterprises worth investing in.This article selects listed A-share information technology companies as the research object,selects financial index data,R&D innovation data and stock price data of listed information technology companies.Through descriptive analysis of the obtained data,we can understand the different companies in the entire industry.The same and different;through correlation analysis,the relationship between a single explanatory variable and the explained variable is tested,indicating that there is a possible causal relationship between the variable and the explanatory variable;through multiple linear regression analysis,through multiplelinear regression analysis,A joint analysis of the explained variable and all explanatory variables examines the overall effect of the explained variable on the explanatory variable,which not only includes the overall significance,but also includes the position and characteristics of each explanatory variable in it.The one-step analysis is the most rigorous.Through these three analyses,the indicators that have the greatest relationship with stock price changes are selected,and based on the analysis results,recommendations are provided to investors,listed companies,and government departments.