Prediction financial distress of firms based on GA-SVM

摘要

Study of financial distress prediction problem. There are many variables affecting the financial dilemma, and choosing reasonable input variables is the key to improve the financial distress prediction accuracy.In order to solve the problem that the input variables selection is not reasonable, causing low precision of financial difficulties prediction, the paper put forward a corporate financial distress prediction method based on genetic algorithm and support vector machine(GA-SVM), and selected the realistic data to do the empirical analysis on the model. The experimental results show that?the GA-SVM prediction method of enterprise financial distress can improve the financial distress prediction accuracy.