Correlation Analysis of Financial Indicators and Stock Price Fluctuation via BP Neural Network

Abstract

This paper uses BP neural network model as an analysis tool, the annual financial reporting indicators of listed companies and the following year in April Correlation analysis of stock price fluctuations. From the 20 possible correlation indicators, 13 highly relevant financial indicators are selected. Through these 13 indicators, the stock price fluctuations in April of the following year are explained and analyzed, and the company’s operators are proposed to share interests, business operations, Suggestions for solvency and other aspects.