RESEARCH ON THE FRAMEWORK OF CRYPTOCURRENCY INVESTMENT RISK ASSESSMENT MODEL BASED ON REGRESSION ANALYSIS AND VARIANCE TEST

This study focuses on constructing a framework for a cryptocurrency investment risk assessment model based on regression analysis and variance testing. First, the importance and current situation of risk assessment for cryptocurrency investment are expounded. Then, the theoretical basis of regression analysis and variance test and their applicability in risk assessment are introduced in detail. Then, a framework for a cryptocurrency investment risk assessment model is constructed, which includes steps such as data collection, variable selection, regression analysis modeling, and variance testing. In-depth discussions are conducted from theoretical aspects such as model optimization, dynamic analysis of risk factors, and integration with other methods. The results show that this model framework provides comprehensive and scientific theoretical guidance for the risk assessment of cryptocurrency investment.