Study on A-share Ratings and Applications in the Capital Market from a Multidimensional Perspective
China has a large number of listed stocks,currently reaching over 5300.With the implementation of the com-prehensive registration system in our country,the quality of listed companies has differentiated.Therefore,the identification,processing,and tracking of financial status,secondary market fluctuations,and various public opinion information of listed com-panies need to be automatically achieved through models.This article evaluates the A-share market stocks in China from four dimensions:the prosperity level of the industry to which the listed companies belong,the financial status of the company's op-erations,research on secondary market valuation and attention,and company events,in order to achieve an overall evaluation of the listed companies.Through multidimensional analysis and consideration,there are significant differences in the future fluctu-ations of stocks with different ratings.Based on the research results of the model,selecting high-quality stocks can achieve an annualized return of about 8.4%.At the same time,the identification rate of stocks with historical risks can reach over 90%,in order to achieve early warning of major risk stocks.The research results found that by analyzing publicly disclosed financial data,market performance,and attention,the operational situation of listed companies can be evaluated,helping them identify their own risks,improve their financial quality,and promote the long-term healthy development of China's securities market.In the future,other effective factors can be further introduced,other statistical tools can be tried,and the accuracy of public opinion recognition can be improved by introducing AI intelligence,to further improv the accuracy of model recognition.
NETL
NSTL
万方数据
