Font Size: a A A

Bp Artificial Neural Network-based Life Insurance Company Solvency Early Warning And Monitoring

Posted on:2009-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:H L ShenFull Text:PDF
GTID:2199360272955970Subject:Finance
Abstract/Summary:PDF Full Text Request
Life insurance solvency is the ability to reimburse all the due debts and to take on future responsibilities. The eligibility of solvency is the basis of keeping away commercial risks, achieving harmonization of development thoroughly, and realizing continuable development. Life insurance solvency is the focus of insurance supervision. The insufficient of insurance solvency will not only impact the managing ability of life insurance companies, but also the development of China's life insurance commerce. It may even jeopardize China's finance and insurance market, and threat the latent interest of the public.This article employed BP neural network theory to build the model of solvency early-warning system for life insurance. First, this article explained the meaning of Life insurance solvency and the factors which affect it, analyzed the actuality of China's Life insurance solvency and the reasons why the solvency of China's life insurance companies are deficient. Then compared and analyzed the existing models of solvency early-warning system for life insurance. On the basis of related supervision regulation and referring to the US IRIS and FAST systems, this article established the basic financial rate indexes which reflect the solvency of life insurance companies on three aspects: the sufficiency of capital, the capability of making profits, and the pay out of operation. On the basis of the above works, this article employed BP neural network theory to the solvency early-warning system for life insurance, provided the methods and steps of early-warning and supervision of life insurance companies' solvency, and made empirical study. The conclusion of study showed that this method could guarantee the veracity and sensibility of early-alarming signals, thus could provide reference to life insurance companies and insurance supervision department. The employing of BP neural network theory to the solvency early-warning system for life insurance is both practical and applicable.
Keywords/Search Tags:life insurance, solvency, BP neural network, early-warning
PDF Full Text Request
Related items