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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Анализ детерминант эффективности российских страховых компаний, лидирующих по объему страховых премий

Экономический журнал Высшей школы экономики. 2024. Т. 28. № 3. С. 468–495.
Polyakov K., Polyakova M. V., Gracheva S.

This study is devoted to analyzing the nature of the influence of a number of internal and external factors on the effectiveness of Russian insurance companies that demonstrate excellent financial results, taking into account the location of their head office. Return on assets (ROA) is considered as a measure of efficiency. The authors do not pretend to the comprehensive nature of the results obtained and note their close relationship with the characteristics of the external economic environment.

The analysis includes indicators whose values are available for management by the financial management of the company. Thus, the results obtained can be used to solve the problem of profitability management. The purpose of the study is to describe possible ROA management mechanisms, taking into account regional specifics.

The study included two groups of insurance companies for insurance other than life insurance — "metropolitan" with head office in Moscow or St. Petersburg and "regional", with head offices located in regional centers. For these groups, models of the statistical relationship between the value of return on assets and the values of a number of indicators traditionally taken into account when studying the problems of managing the profitability of the insurance business were built. To build models, samples were formed based on the annual reporting for the period from 2017 to 2020 (SPARK) of the group of leaders in terms of insurance premiums of the Expert RA rating agency based on the results of 2020.

The specification of models for "metropolitan" and "regional" companies was carried out taking into account the possible nonlinear nature of the statistical relationship of explanatory indicators with the ROA indicator based on the MFP algorithm. As a result of the construction and optimization of models for a number of indicators, a nonlinear form of their entry into the model was identified, which is useful for making financial decisions.

The result of the study was the conclusion about significantly different possible mechanisms of profitability management for "metropolitan" and "regional" companies. If financial management plays an important role in this process for "metropolitan" insurance companies — managing the structure of assets and liabilities, then for "regional" companies the determining factor is their specialization in certain types of insurance.

 

Research target: Economics and Management Mathematics
Language: Russian
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Keywords: страховые компанииROAreturn on assetsfractional polynomialsобобщенные полиномы insurance companiesMFP algorithmалгоритм MFPcompany profitabilityприбыльность компании
Publication based on the results of:
Transformation of Comparative Advantages and Industrial Structure of the Russian Economy: Assessment of the Effects of 2022 Shock (2024)
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