AUTOMATED FORMING OF INSURANCE PREMIUM FOR DIFFERENT RISK ATTITUDE INVESTMENT PORTFOLIO USING ROBO-ADVISOR

Abstract

The volume of private investment is growing steadily nowadays. In this case, it is crucial to analyze investors' behaviour, decision-making factors and the specifics of their investment portfolio formation and especially their cognitive constraints, which prevent them from effectively defining investment goals and profitable achieving them. This research shows that investors, even experienced and financially literate, often make significant mistakes when creating their own investment portfolios. Thus, the use of automated tools for determining the insurance premium and the optimal investment portfolio, which is a robo-adviser, becomes relevant. The paper presents the model for estimating personal insurance premium for different risk attitude investment portfolios using robo-advisor. Three types of investors are analyzed: conservative, aggressive, and moderately aggressive. The model helps determine the individual size of the insurance premium for each investor profile, taking into account his or her risk attitude.