Multisource Heterogeneous Data-Based Behavior Excavation of Investors and Financial Risk Prediction

Abstract

The investment decision-making behavior of investors refers to the capital purchase behavior of investors in order to achieve a certain purpose or goal. As an individual decision-maker, investors will be affected by various factors when making investment decisions, and the influencing factors may be caused by the outside or generated by themselves. The focus of this paper is to analyze the impact of investors’ past returns on investors’ decision-making based on multisource heterogeneous data. Multisource heterogeneous data can show the results of investors’ behavior evaluation at multiscale and multilevel. Using conceptual deduction and empirical research methods, based on the analysis of investors’ behavior, the financial risk prediction results are proposed. Financial risk prediction mainly analyzes the impact of investment returns on investors’ decision-making from two aspects: individual returns and overall returns. The measurement indicators of investment decisions use investors’ transaction frequency and asset size.