Research On Financial Risk Assessment Of Sci-tech Innovation Board Enterprises Based On BP Neural Network

Since its establishment in July 2019,the STAR Market has been open for three years.According to the latest data from the Shanghai Stock Exchange,as of March 2022,the number of companies listed on the STAR Market has reached 401,with a total market value of 487 million yuan.The science and technology innovation board adopts a registration system,which greatly improves the listing efficiency of science and technology enterprises.In contrast,the Science and Technology Innovation Board has the strictest delisting regulations.The establishment of the Science and Technology Innovation Board has created a long-term and effective capital financing platform for my country’s scientific and technological innovation industries,making industrial agglomeration and brand effects gradually appear.However,STAR Market companies also face many financial risks,such as unstable management,unreasonable capital structure,poor profitability,high R&D expenses,and uncertain investment returns.Therefore,an objective and reasonable assessment of the risk situation of the science and Innovation Board enterprises,strengthening the control and early warning of financial risks,and avoiding the development of financial risks into financial crises are conducive to the prevention and avoidance of financial crises and reducing the losses of the enterprises.Therefore,it is of great practical significance to build an early warning model for early warning and preventing the financial risks of science and Innovation Board enterprises.This paper will introduce the existing financial risk theory and evaluation methods,and then combined with the relevant systems and industry development of China’s science and Innovation Board enterprises,analyze the causes of the financial risk of science and Innovation Board enterprises.By selecting 120 science and Innovation Board enterprises enterprises,and screening early warning indicators from their financial data from 2019,the index system of financial risk early warning system of science and Innovation Board enterprises is constructed.The selected indexes are used to train the BP neural network model.After the model is constructed,it is tested with the financial data of 2020-2021.Then,a Logistic regression model was constructed and tested,and the two prediction methods were compared.Through the case of Hengyu Environmental Protection,the model test is further analyzed and analyzed to evaluate the test results.The financial risk evaluation model of science and innovation board is constructed based on BP neural network.After training and testing the sample data,the constructed model has a good prediction effect on the financial situation of listed companies on science and innovation board.The evaluation results play a good role in the decisionmaking level of science and innovation board for early warning of the company’s financial risk.It is conducive to improve the risk prevention and avoidance ability of China’s science and Innovation Board enterprises,so that the science and Innovation Board enterprises can develop healthily and stably.