Research on Dynamic Early Warning of Financial Risk of Sci-tech Enterprises

Abstract

It is becoming more and more important that the role of technology plays in the national economy. However, due to the high risk, high input, high pay characteristics of science and technology enterprises, the majority of enterprises are facing serious financial risk. This paper explorely applies the gray relational analysis method and the gray prediction method in the gray theory into the index screening and model construction, and puts forward the idea of constructing the micro-warning model which is suitable for the enterprise itself, and evaluating the enterprise’s risk situation from both financial and non-financial factors, so as to successfully build the company’s financial risk early warning model. The results show that the model has high accuracy and good short - term prediction function.