Dynamic Simulation System of Financial Risk Based on Artificial Intelligence TVP-FAVAR Model

Abstract

The financial risk dynamic simulation system is a computer based, artificial intelligence based system designed to predict and control financial risks by simulating the humancomputer interactive development environment. The purpose of this paper is to bring convenience to people and provide financial risk early warning system. Only by accurately grasping the characteristics, attributes, size and change trend of financial risks, can economic entities have a target, suit the remedy to the case, and formulate effective financial management plans. The foundation of mastering financial risks lies in financial risk assessment. This paper mainly uses the way of experimental testing, using control variables to detect the system. The experimental results show that when the number of concurrent times is 60, the CPU utilization of the database server of the analysis module and the early warning module is the same, and the response time is less than 0.3s. Therefore, the system can be applied to financial risk detection.