Study On Financial Risk Early Warning Of Electronic Components Industry Listed Company Based On Bp Neural Network

Electronic components industry is a part of the electronic information industry. In the 1990 s, the international communication equipments, consumer electronics, computers, internet application products, automobile electronic products, set-top boxes and other emerging industry all have rapid development, therefore, influenced by the external environment. The Chinese native electronics industry enterprises also began to boom. Electronic components industry in China is in a period of prosperity and acting on international convention, which is both opportunity and challenge. In the daily production and management of the enterprise, benefit and risk is often coexist, that make domestic electronic components industry facing to a certain extent unknown risks of listed companies. Therefore, if the listed company want to prevent the financial risk, they can establish the financial risk prewarning model that suitable for the company, which can get effective prediction for the risk that has not yet happened. This article is based on the basic theory of financial risk and BP neural network, that establish the financial risk prewarning model for the electronic components listed company, so that we can find the existed financial risk as soon as possible. Through the study we found that the financial risk prewarning model have played an important role in effective prediction, that provide a theoretical basis and model basis for the study of the financial risk prewarning model of the electronic components industry. The main research work of this article is as followed:(1) Summarizing the conclusion of previous studies, as most of the financial condicions of the listed companies are on the health level, only a few of the listed companise are ST, in accordance with this standard can not be able to have the right reaction of the financial status of a certain industry listed company. Therefore, this article put the ST companies and non ST companies together to research, and add new content for the financial risk prewarning model of the listed company.(2) Establishing a financial risk prewarning index system. In the previous studies, only selected financial index as input of the BP neural network early warning model, and this article adds four non-financial indicators, and a total of 22 financial risk prewarning model.(3) Designing BP neural network early warning model for the electronic components industry in our country listed company. In this part, I will do some normality test, nonparametric test and factor analysis, for the 22 warning index selected in the previous chapter, then we can get the electronic components industry financial risk early warning model of the input data.(4) Establishing the financial risk prewarning model used by MATLAB software that based on the BP neural network in the electronic components industry. From the result of the financial risk prewarning model, we can know that electronic components industry will play a prediction effect.