The wavelet function was introduced into the support vector machine kernel function. At the same time, an improved particle swarm optimization algorithm was introduced in the learning algorithm of the support vector machine, so that the optimal solution of support vector machine parameters could be provided to establish a financial distress early warning model for listed companies. The results show that the proposed method is more accurate than the ordinary wavelet support vector machine early warning model.