Research on the Financial Early Warning System of the Listed Real Estate Companies in China

Along with the economic development and an increase in residents' income, the real estate market in China is continuously heating up and developing rapidly. On the other hand, Risks have, meanwhile, also become apparent gradually. It is necessary for real estate enterprises to be aware of their own financial crises, so as to avoid financial risks and resolve financial crises effectively. That's why there is an urgent request to build a financial early warning system. Based-on the further study of the early warning system at home and abroad, early warning indicators of the financial system will be established combining the characteristics of China's listed real estate company. Using that factor analysis, a financial early warning model with the Binary Logistic Regression Analysis model will be constructed. The SPSS software has also been used in the empirical study. Finally, the model outcomes are tested using the discriminates analysis method.