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

Abstract

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

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