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June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Пограничный корректирующий механизм ЕС как фактор влияния на внешнеэкономическую деятельность РФ

Вестник Московского университета им. С.Ю. Витте. Серия 1: Экономика и управление. 2020. № 4(35). С. 58–65.
Kutyrev G., Апасова Анастасия Максимовна

The paper examines the impact of the environmental agenda on global trade processes, including the area of rulemaking, on the example of the influence of EU Carbon Border Tax on Russian external economic activity. It is suggested that such restrictions become a harbinger of a new global economic reality, since the transition of the rule-making initiative in the field of green economy to European states, which is not formally prohibited by the WTO rules, presents an opportunity for the development of protectionism and the introduction of barriers for goods produced not in accordance with environmental standards. Possible threats to the introduction of the EU carbon tax for Russia, whose industry is characterized by a high level of carbon intensity, are investigated, among which the loss of both European trading partners and Asian markets are noted. The article notes the inevitability of the negative impact of the environmental agenda on the sustainable development of Russia in the short term, as well as the long-term benefits of restructuring the economic model. This study examines the context and possible scenarios for the implementation of the EU Carbon Border Tax and suggests measures to improve energy efficiency and competitiveness of Russian exporters, considering the current context of decarbonization in Russia

Research target: Economics and Management Political Science, International Relations, and Public Administration
Priority areas: law
Language: Russian
DOI
Text on another site
Keywords: Европейский СоюзEuropean Uniontrade barriersторговые барьерымировая торговляWorld tradeевропейский пограничный углеродный налогEU Carbon Border Tax
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