Financial early warning of non–life insurance company based on RBF neural network optimized by genetic algorithm

摘要

Due to the characteristic of risk diversification in non–life insurance industry, the company'sfinancial risk early warning is very important. In order to reasonably predict the financial statusof non–life insurance company, the evaluation system of financial risk indicator is constructedfrom the aspects of solvency, profitability, and growth ability. Taking data of non–life insurancecompanies in past years as sample, the evaluation indicators are weighted objectively using theentropy method. The RBF neural network model is improved with the genetic algorithm, andthe early warning model is established. The empirical results show that the prediction accuraterate of RBF neural network model based on genetic algorithm is increased.