| Insurance companies as a market management entities, in providing insurance and other financial services to the process, inevitably face a variety of risks, some risk management theory and practice of insurance companies market risk and credit risk prevention and management techniques are almost perfect. In recent years,operational risk has been widespread attention to the financial sector. Because of operational risk is posed more complex, involving many factors, it is difficult structured, the lack of historical data, etc, it is difficult to model and measure. Compared with the banking industry, the insurance industry of its own operational risk measurement techniques were rare. This paper summarizes and analyzes the traditional operational risk measurement techniques:basic indicator approach, the loss distribution method, extreme value theory model is proposed based on Bayesian network model used to measure the benefits of operational risk insurance. Bayesian network is based on Bayesian decision theory, causal modeling techniques. It can be used to establish operational risk measurement systems, and as the basis for operational risk measurement. This chapter demonstrates the Bayesian network operational risk management in the insurance application, the application of the Bayesian network model to make the evaluation. Chapter IV using an insurance fraud case, given Bayesian network model operational risk measurement and management of insurance companies in the specific application. The article concludes:Bayesian network model can be, used to measure the risk of our insurance operations and put forward China's insurance companies measure and manage operational risk in China. |
