The Authentic Proof Study On Financial Early Warning Of Ordinary Colleges

Lots of examples in the word have proved that the enterprises in distress had the dangerous sign in common. Finance management which is the important part of the corporate management, requires us to establish a financial early-warning system. So exits university finance management. University financial risk is the risk that universities confront when capital running. As institutions, though can not be bankrupt universities may encounter such difficulties as lack of mobile capital which usually results in salary delaying and difficulty in daily operation.The thesis studies financial risk evaluation, forecasting and control of universities in the hope of reference for the management of universities' financial risk work. The article uses relevant study result home and abroad and current finance and accounting data, selects sixteen universities of shannxi province as analysis sample, sets up the system of financial ratios, and adopts method of efficiency coefficient to make an empirical analysis of the year 2004 and 2005 these universities financial risk condition, also it studies the developing trends of universities financial risk by dividing the sample universities into five. And then, the article adopts Artificial neural net work analysis and constructs universities financial risk forecasting model. The formative training sample data are used to train the ANN model.Through financial forecasting, the paper tests the fact financial risk and proves the feasibility of the mode. The Authentic Proof study indicating: the financial early warning mode can closely compute and correctly forecast the financial risk condition. It follows that the mode is valuable.