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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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Social Capital and Support for the Welfare State in Russia

Post-Soviet Affairs. 2017. Vol. 33. No. 5. P. 411–429.
Borisova E., Govorun A. V., Ivanov D.

Few tasks are more important in the post-communist setting than rebuilding the welfare state. We study individual preferences for increasing social welfare spending to reduce inequality. Using two surveys of about 34,000 and 37,000 Russians we show great importance of the bridging type of social capital for redistribution preferences in Russia as it precludes possibilities of cheating and free-riding. Instrumenting social capital with education, climate and distance from Moscow we deal with endogeneity concerns and also contribute to the understanding of the deep roots of social capital in Russia. We also claim that social capital in post-socialist countries could help mobilize public support for the redistribution schemes in spite of the fact that institutions are weak

Research target: Political Science, International Relations, and Public Administration Economics and Management Sociology (including Demography and Anthropology
Priority areas: economics
Language: English
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DOI
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Keywords: социальный капиталкоррупцияРоссиядовериеsocial capitalRussiainequalitytrustcorruptionнеравенствозапрос на перераспределениеpreferences for redistributionbridging social capitalоткрытый социальный капитал
Publication based on the results of:
Political Economy of Development: Historical and Contemporary Factors (2017)
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