Abstract
Since the late 1980s, as stock markets have faced a variety of challenges, the assessment and management of financial risk within stocks has become increasingly important. The management of financial risk within stocks is an important part of modern portfolio investment theory. In order to study the internal influencing factors and risk transmission mechanism of stock price in China, this paper selects a system of 13 indicators from 4 aspects, conducts contribution analysis by constructing ANN (Artificial Neural Network) algorithm, and uses R2 ,MSE indicators to test the indicators, and the results show that the growth ability and profitability of enterprises have the most influencing factors on stock price. The research in this paper is beneficial to further explore the internal influencing factors and their intrinsic relationships of Chinese firms' stocks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.