This article focuses on developing an individual investment account (IIA) management strategy that considers behavioral factors influencing investment decisions. The study is based on an analysis of the dynamics of the IIA market in the Russian Federation, including statistical data on the number of open accounts, asset volume, and trading turnover, as well as the identification and assessment of investor behavioral biases. The paper presents methodological approaches to identifying cognitive biases such as the disposition effect, overconfidence, and the majority effect, followed by a ranking of their significance for each investor. Based on the analysis, specific recommendations for optimizing the investment strategy are proposed, aimed at minimizing the negative impact of behavioral factors and improving the effectiveness of IIA portfolio management.
Yu. Ya. Myagkova (Mon,) studied this question.