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News
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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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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