Forewarning Analysis Of Listed Companies’ Financial Risk Based On Neural Network

Today’s society and the market are constantly changing. The risks faced by investors andenterprises is unprecedented, especially the promotion of information technologies allows usto have been caught unprepared. In August6,2011, Standard&Poor’s (Standard&Poor’s)suddenly announced that the U.S. sovereign credit rating from "AAA" level down to "AA"level, the news caused worldwide panic, It caused national stock markets to substantiallydecline, investors fled the stock market, global economic growth slowed down. We can seeits great an impact on world economy of a country’s financial forecast, then starting from theenterprise, we also need to establish such a prediction system, not only for business managersto manage enterprise information and its evaluation criteria also played an important role toimprove the investment market, to protect the interests of investors. From our point of view,with the establishment of market economies and China’s stock market development,corporate financial crisis have become increasingly prominent listed companies because offinancial problems, ST or delisting is not uncommon, and there’s reason is diverse, but it isundeniable that the financial crisis is the ultimate embodiment of, but also a strong desire toavoid the phenomenon. Accordance with the precepts of qualitative and quantitative changesin the philosophical shallow to deep financial crisis, a development process, as soon aspossible to predict the financial crisis will appear, and take a series of measures to control,then we will maximize the to avoid financial crisis.On this basis, at home and abroad based on the actual situation of Chinese enterprises,combined with the latest neural network technology to predict the financial crisis, andconsider the various factors to establish a data set of quantitative analysis; by means of aneural network; corporate strategy, corporate governance, internal control is the goal ofintegrated early warning and analysis systems for better forecasting, analysis and control, andthen to corporate financial crisis, and ultimately contribute to the stable development ofenterprises and business goals, but also for the community to create greater efficiency.