Study on measuring model of operational risk applying Bayesian inference

The key problem is scarce of data about operational risk event in measuring operational risk,and it will lead to deflection of regulating capital collocation and low capacity of precautioning and controlling risk.This paper measures the operational risk applying Bayesian inference based on analysis of measuring model of operational risk.The distribution of loss frequency and loss amount of operation loss event were estimated by using actual data.The loss amount of operational risk was simulated by means of Monte Carlo simulation.By the empirical analysis the result shows that the problem of scarce of data about operational risk event can be solved well by applying Bayesian inference to measure the operational risk.