Study Of Corporate Financial Risk Early Warning Applications

The market competition is fiercer and fiercer along with the deeper revolution of domestic marketing economics system, especially after we have taken part in the WTO. It is necessary that the company financial risk can be forecasted opportunely and accurately during the whole developing period of the company. One valid way is to buildup the company financial alarm system, which can enhance the competition ability and flexibility of the company.Based on the analysis of domestic company financial risk state and the research results, which have been published in this field, the cause of financial risk has been discovered by using the theories of financial management, accountancy and economics. The profitability, matching capability of debt scope, rationality of capital configuration and integrality of administration structure have been also considered deeply in the whole analysis process.The main work of this thesis is the theory research and realization method of company financial risk alarm system. Based on the analysis of the real conditions of domestic companies, the convincing index from the asset profitability, asset management, refund ability and expansionary developing capability of the company have been chosen. The multi-variable linear function models have been established to evaluate and forecast the company financial risk by using the improved synthetic efficacy coefficient method. The validity of this method is proven by analyzing the company's stochastic chosen real data. The results shows the method has the favorable evaluation and forecast abilities of company financial status and risk degrees on condition that only the published data of company can be used. Considering the reality of the low degree of mastering information technology in domestic company manage faculty, the model can be handled easily. Also, the model is established by the general office software and can be integrated with the current financial software to realize the real-time dynamic forecast for company financial risk.