Study of the impact of geopolitical risks on financial assets of households in Russia: analysis of practices and models

In conditions of increased geopolitical instability marked by military conflicts, political upheavals, terrorist attacks, the emergence of pandemics and migration crises, there is a significant change in the structure of household financial assets in Russia. The subject of this article is the impact of the geopolitical situation on the financial structure and well-being of households. The object of the study is the financial assets of households. The purpose of the study is to identify key factors and strategies for adapting households to the above-mentioned threats. The article is based on the analysis of literary sources, an integrated approach to the collection and processing of statistical data on the dynamics of financial assets for the period 2020-2023, as well as on the study of cases and theoretical works that made it possible to classify approaches to financial asset management and assess how financial assets changed under the influence of geopolitical factors. The paper presents a critical analysis of a variety of theories about how geopolitical events affect households’ preferences in choosing financial assets and their investment strategies. Based on specific data, such as an analysis of the share price of large companies, the impact of instability on investment processes in the country is revealed. According to the results of the study, the model of household financial asset management developed by the author is presented, adapted to the conditions of geopolitical challenges, where the main resource of efficiency is the financial literacy of the population. In conclusion, it is emphasized that in the context of geopolitical risks, the Bank of Russia’s comprehensive policy to improve financial literacy of all segments of the population is of particular importance, which is the key to the successful implementation of the financial asset management model of families and their stability during periods of uncertainty.