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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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Динамика спроса на навыки и отраслевая структура экономики: анализ развитых и развивающихся стран

Вестник Санкт-Петербургского университета. Серия 5. Экономика. 2022. Т. 38. № 1. С. 65–84.
Telezhkina M.

The paper considers changes in the structure of employment by skill level in countries. Differences in dynamics of the shares of employed with high, medium and low skill levels is traditionally explained by differences in exposure to routine biased technologies, participation in international trade, exposure to offshoring in the country. The current paper contributes to the literature about the drivers and determinants of changes in structure of employment by skill level considering the industrial structure to be the one of main factors. We assume that the dynamics of employees with high, medium and low skill levels depends on the shares of agriculture, manufacturing and service in the economy. Service industry has the largest share of employment; it is highly competitive and prone to the growing influence of large scale technologies. Using the data of 218 countries for the period 1989-2019 we prove that the greater the service industry in the economy, the higher the share of employed in high skill occupations in absolute value and relative to the share of employed in medium skill occupations. The faster the growth of service industry, the higher the growth rate of the number of employed in medium and high skill occupations. The share of manufacturing in GDP, the value of GDP per capita are the significant determinants of the dependent variables. We highlight substantial differences in the models of the structure of employment by skill level and its dynamics in the developed and developing countries, the oil exporting countries.

Research target: Economics and Management
Language: Russian
Full text
DOI
Keywords: развивающиеся страныпанельные данныеdeveloping countriesdeveloped countriesindustrial structureразвитые страныотраслевая структура panel dataemployment by skill levelструктура занятости по уровням навыков
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