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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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Revealed in Transition: the Political Effect of Planning's Legacy

European Economic Review. 2023. Vol. 159. Article 104567.
Natkhov T., Pyle W.

Decades of investment decisions by central planners left communist societies with structures of production ill-prepared for competitive markets. Their vulnerability to liberalization, however, varied across space. Tracking presidential voting in Russia at the district level in the 1990s, we document asymmetric reactions to the rapid liberalization of markets in 1992. Electoral support for the pro-market incumbent, as well as nighttime light intensity, declined more in districts whose inherited structures of production made them more vulnerable to reforms. By controlling for provincial fixed effects, we plausibly filter out the impact of post-1992 policy variation, allowing us to shed new light on an old debate about the importance of “initial conditions” to the trajectories of post-communist societies.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: industrial structureRussian transition economy
Publication based on the results of:
Institutions and Culture: Variations in Time and Space (2022)
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Введение
Kuznetsov B., В кн.: Очерки модернизации российской промышленности: поведение фирм.: М.: Издательский дом НИУ ВШЭ, 2014. С. 6–13.
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Yakovlev A. A., / Series DP "BOFIT Online". 2013. No. 7.
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