The evaluation model of construction industry financial risk based on SVM

Abstract

The model of evaluating profession financial risk can be added with industry characteristic indicator, a general evaluation model is more suitable for a particular industry, and it can improve the accuracy. This paper has chosen 23 financial indexes aims at six respects such as solvency, profitability, cash flow, asset management ability, development ability and capital structure of construction industry, and has built the evaluation index system of building trades. Selected the construction enterprises in the Shanghai and Shenzhen listed as samples, applied cluster analysis on samples to preprocessing, then using the theory of support vector machine, respectively constructed polynomial Gauss radical, Sigmoid three kernel function SVM evaluation model of construction industry financial risk, and has verified them, The results shows that the SVM model that applied in the financial risk evaluation of construction industry has a high accuracy. © Springer-Verlag Berlin Heidelberg 2013.