Risk Analysis Model of Financial Management Products Based on Clustering Algorithm

Abstract

AbstractInternet financial products are a new financial management method based on the Internet platform to realize national financial management. From the beginning, it naturally has the dual characteristics of the Internet and finance, which determines that the risk situation it faces is more complicated. Therefore, how to effectively identify, preventing and controlling the risks of Internet wealth management products has become an urgent problem for the Internet wealth management industry. This article aims to study the risk analysis model of financial wealth management products based on clustering algorithm. Based on the analysis of the types of risks of wealth management products and the advantages of Internet financial wealth management products, a risk model of financial wealth management products based on clustering algorithm is constructed. The model is empirically analyzed. The analysis results show that the failure rate of all Internet wealth management products does not exceed five percentage points, and the LR is close to the critical value. The null hypothesis is accepted, and the model passes the test.KeywordsClustering algorithmFinancial productsRisk analysisRisk model