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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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Социально-демографический портрет и ценностные установки пользователей инвестиционных приложений в России

Экономическая социология. 2024. Т. 25. № 2. С. 58–87.
Iudin I.

The past decade saw a rapid increase in the number of retail investors. The number of people holding brokerage accounts in Russia increased from 1 million in 2012 up to 23 million in 2022. This was mostly due to the lower market entry barriers and the widespread adoption of mobile investment apps. This paper examines the factors that influence the use of mobile investment apps, which have become the main tool for mass retail investors in the Russian stock market. This study employs data from the Monitoring Study of Society’s Digital Transformation conducted by ISSEK HSE in 2022. The sample was comprised of 9452 respondents aged 18 and above. The data suggests that despite a rapid increase in number of people with brokerage accounts, only about 4% of adult Russians engage in investment activities using mobile apps. Next, the associations between the use of investment apps and several groups of factors— socio-demographic characteristics, human capital, technological proficiency, and basic human values— were tested. It was demonstrated that investment apps users are typically young, affluent men with higher levels of human capital. They have higher education and engage in additional education and self-education activities. They also show strong innovativeness and low levels of technological discomfort. Their value orientations are characterized by autonomy, power, and universalism, while they do not value conformism and tradition.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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DOI
Text on another site
Keywords: инвестициифондовый рынокinvestmentsинвесторинвестиционное поведениеinvestorstock marketinvestment behaviorТехнологическая готовностьTechnology readinessрозничный инвесторрозничное инвестированиеretail investingretail investorinvestment appsинвестиционные приложения
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