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July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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Некоторые вопросы методологического обеспечения управления стоимостью банков на российском рынке финансовых услуг

Вопросы статистики. 2022. Т. 29. № 4. С. 84–96.
Polyakov K., Polyakova M. V., Загонова Е. А.

In the introduction, the authors argue the relevance of the researched problem of improving the algorithm for estimating transaction cost of bank’s purchase and sale in the Russian financial services market. It is emphasized that the need to manage the value of a commercial enterprise arises not only when planning the purchase and sale transaction of the entire business or part of it. The valuation is taken into account, first of all, when corporatizing an organization, attracting new shareholders, insuring its property, obtaining a loan secured by property, calculating the fair value of taxesю The first part of the paper substantiates the business valuation algorithm intended for a potential investor and adapted to the conditions of the Russian financial market. This takes into account the specific features of each bank in question. Based on the data from open financial statements (for 2017–2022), the parameters required in the procedure for obtaining estimates are calculated. The second part of the paper presents the result of selecting indicators of the external and internal economic environment of banks that have a significant statistical relationship with the resulting valuation. The selected factors are under the control of managers and can be used
to guide the proposed cost estimate. Data were obtained on the direction and strength of influence of selected factors on the value of business. The selection algorithm is based on mathematical modeling using bank data for the period under consideration. The valuation is based on a comparative approach, where the values of the multiples are calculated using a linear regression model. To organize cost management, a panel regression model is built, which allows to select significant financial indicators and determine the nature of their impact on the bank's value.

Research target: Economics and Management Mathematics
Language: Russian
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Keywords: оценка стоимости банкапанельные данные business valuationоценка стоимости бизнесаincome approachдоходный подходстатистика финансовдисконтирование денежных потоковmultiplier methodметод мультипликаторовMonetary and financial statistics panel datafinancial services marketmathematical and statistical methodsbank valuationdiscounting cash flowsрынок финансовых услугматематико-статистические методы
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