Combination of Financial Research Methodologies

DOI: https://doi.org/10.33917/es-5.185.2022.132-137

The article analyzes mathematical modeling as a methodology for the study of finance, which today is quite limited and outdated. The directions of the introduction of additional methodology in the field of finance — behavioral science are studied. The behavioral methodology is revealed for: predicting the reaction of investors; considering the general question of how financial markets help the country in allocating resources and ensuring long-term economic stability; contributing to improving the process of making financial and investment decisions. The usefulness of introducing behavioral models into financial science is substantiated, which in combination with mathematical modeling will allow for significant updates in this area.

References:

 

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Robots, Digital Twins of People, Dialectical Models of Society and Economics

DOI: 10.33917/es-5.171.2020.58-67

Demographic crisis remains one of the main challenges to socio-economic development of Russia. The COVID–19 pandemic

has aggravated preconditions for a possible recovery from depopulation. The present article substantiates the need to develop and approve the RF social doctrine upon completion of national projects in 2018–2024. The authors suggest their own approach to overcoming the socio-demographic crisis with regard to the long-term demographic dynamics in Russia. Various scenarios of the “post-coronavirus” future of both specific countries and the world as a whole are proposed