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News
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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Succession in Driving Innovation Within Family-owned Businesses in Japan

Science, Technology and Society. 2026. Vol. 31. No. 1. P. 27–47.
Sadoi Y., Shaposhnikov S.

This article examines how intergenerational succession influences innovation in Japanese family-owned businesses (FOBs), where legacy and renewal coexist within a distinctive cultural and institutional framework. Drawing on 20 case studies across sectors, it demonstrates that succession can serve both as a constraint and a catalyst for innovation, depending on the alignment between successor legitimacy, autonomy, and institutional support. The study integrates classical governance theories with contemporary perspectives such as socioemotional wealth and ‘innovation through tradition’, highlighting how cultural mechanisms like *ie*, *wa* and *yōshi-engumi* mediate strategic outcomes. It argues that when succession is framed as continuity through innovation, rather than disruption, Japanese FOBs achieve sustainable renewal and global competitiveness. Policy implications point to the role of state instruments in enabling innovation-oriented succession.

Research target: Economics and Management
Language: English
DOI
Keywords: ЯпонияинновацииJapaninnovationsсемейный бизнесfamily business
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