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News
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.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Investment Portfolio Structure, Turnover Assessment, and Rebalancing Efficiency

P. 1–4.
Sizykh N., Sizykh D.

This paper examines methods for analyzing structural changes in investment portfolios and proposes new approaches for assessing turnover and the effectiveness of their rebalancing. The study aims to systematize and adapt statistical indicators of structural shifts for analyzing the dynamics of securities portfolios, as well as to develop methodologies for assessing the proportion of changes during rebalancing and its effectiveness via the Sharpe ratio. Using the analysis of portfolios of Russian management companies (mutual funds) as an example, it is demonstrated that estimates of their structural changes are quite effective for portfolio rebalancing. The Ryabtsev index provides the best metrics for portfolio renewal levels, achieving an accuracy of 97.63%. The proposed portfolio management activity coefficient and the method for assessing rebalancing effectiveness have proven their practical significance for analytical research and investment decision-making.

Language: English
Full text
DOI
Keywords: российский фондовый рынокинвестиционный портфельRussian stock marketкоэффициент ШарпаSharpe ratio investment portfolioportfolio turnoverRyabtsev indexоборачиваемость портфеляиндекс Рябцева

In book

2025 18th International Conference on Management of Large-Scale System Development (MLSD)
IEEE, 2025.
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