Abstract：
In order to solve the problem that it is difficult to evaluate the financing risk quickly and efficiently because of the characteristics of public rental housing REITs financing risk factors with nonlinear and height fitting. This paper proposes a public rental housing REITs financing risk evaluation model based on SVM-AFSA. Firstly, AFSA is used to optimize penalty factor and the kernel function that supports vector machine, to find optimal training parameters and improve the prediction accuracy of support vector machine. Then, with the help of the advantages of the support vector machine in dealing with nonlinear and small sample data , the author evaluated the REITs financing risk about the Lankao County Health District public housing. The results show that the public rental housing REITs financing risk level is general.
