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April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Ресурсы работников малого и среднего бизнеса и их самочувствие на рынке труда

Вестник Российского университета дружбы народов. Серия: Социология. 2016. Т. 16. № 2. С. 386–402.
Chilipenok Y., Osipova O.

The main purpose of this study was to describe the employee of small and medium business as the subject of modern socio-labor relations from the point of view of its resource endowments. The theoretical basis of the research was a resource-based approach. On the data base of HSE Russian Monitoring of Economic Situation and Population Health (RLMS) were examined the main resources of the workers of small and medium enterprises. Through the views of employee’s fear of losing their jobs, confidence in finding a new one and willingness to find new job were analyzed preconditions of their behavior in the labor market depending on the resource profile. On the basis of empirical material have been distinguished average, normal values of owning a dedicated set of resources and the situation of employee as a subject of social and labor relations in the light of the levels of possession of particular resources. Low economic security of employees of small and medium business, with the consequence that the financial factor has a decisive importance in the behavior of this category of workers in the labor market. Were drawn conclusions about the importance of information and innovative and economic resources as well as resource the health worker to realize his independent position on the labor market and readiness to implement labor mobility

Research target: Economics and Management Sociology (including Demography and Anthropology
Priority areas: sociology management
Language: Russian
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Keywords: рынок трудамалый и средний бизнессоциально-трудовые отношенияemployeeработникресурсный подходsocio-labour relationsresource-based approach availability of resourcesресурсообеспеченностьsmall and medium businesseslabor market
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