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News
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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Применимость моделей устойчивого роста для прогнозирования эффективности IPO компании

Финансовый менеджмент. 2025. № 8. С. 321–330.
Войко Д. В., Voyko A. V., Афанасьева Е. Ю.

The purpose of this article is a comprehensive analysis of the applicability of Sustainable Growth Ratio models for predicting the effectiveness of IPO (IPO – Initial Public Offer) of Russian companies in modern conditions. Companies of various types of activity were selected as the object of research: medicine, pharmacology, IT business, transport services, wood processing industry and mining industry. As a methodology, the authors used a comparative analysis of SGR models in relation to the dynamics of the actual performance of Russian companies in the real sector of the economy, both those that went public in 2021-2024 and those preparing for a public offering of shares. The results of the study show that SGR models occupy an important place among the tools for evaluating the effectiveness of IPOs due to the ability to predict growth rates corresponding to maintaining the financial stability of the company without attracting additional borrowed capital. Empirical data showed significant variability in SGR dynamics across companies and models, which necessitates the need to supplement the calculation of SGR models with other indicators to predict the effectiveness of companies. Nevertheless, it was found out that models that include a larger number of financial coefficients and reflect the capital structure provide more accurate forecasts of the effectiveness of placements compared to classical models. The findings can be useful for professional market participants and investors in assessing the potential success of an IPO.

Research target: Economics and Management
Language: Russian
Text on another site
Keywords: структура капиталаprofitabilityIPOрентабельностьcapital structuresustainable growthустойчивый ростIPOprofit reinvestment ratioкоэффициент реинвестирования прибыли
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