The risk of block chain financial market based on particle swarm optimization

In order to effectively measure the risk of China’s block-chain financial market, in this study, combined with KMV model, which is widely used in the world, the risk prediction model suitable for China’s financial market has been found under the revision of particle swarm optimization algorithm. Based on the analysis of the data of more than 2,900 A-share companies in Beijing, Shanghai, and Guangzhou, the optimal short-term liabilities and the...