Analysis and Research on Internal Factors of Stock Price Fluctuation of Chinese Listed Companies Based on ANN-BRF Model

Abstract

Affected by the new corona epidemic, China ' s stock market fluctuates frequently, and stock price fluctuations lead to obstacles to corporate financing, which is not conducive to establishing a good corporate image. In order to provide ideas for enterprises to stabilize the stock price, this paper establishes the influence of internal financial factors on the stock price fluctuation of listed companies based on the artificial neural network-radial basis function (ANN-RBF) model. Based on grounded theory, this paper constructs an index system of stock price fluctuation factors, including 14 indicators from four aspects from the perspective of internal enterprises. Based on the financial data of the Lingnan Pharmaceutical Industry from 2008 to the third quarter of 2021, this paper integrates the financial index system into ANN to explore the impact of corporate financial indicators on stock prices. The results show that net asset growth rate (0.87), retained earnings (0.68) and speed ratio (0.929) are the leading financial indicators affecting stock prices. In addition, this paper helps to study the accuracy of RBF neural network in predicting stock prices of listed companies.