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.
Description:
Kobets, V., Yatsenko, V., Popovych, I. (2022). Automated Forming of Insurance Premium for Different Risk Attitude Investment Portfolio Using Robo-Advisor. In:, et al. ICTERI 2021 Workshops. ICTERI 2021. Communications in Computer and Information Science, vol 1635. Springer, Cham. https://doi.org/10.1007/978-3-031-14841-5_1.
