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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.
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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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Les réseaux sociaux comme outil d’isolation politique en Russie

ESSACHESS. 2012. Vol. 5. No. 1(9). P. 193–208.
Kiriya I.

The main idea of this article is to show how the configuration of new medias and their interactions with traditional media system in Russia contributing to isolation of the opposition and to social control which is advantageous to dominant power coalition. This idea contradicts to dominating common opinion that gives a great importance to new media and presents them like catalysts of social changes for example in Arab World. The direct interaction, the flexibility, absence of hierarchy inspired scholars to make conclusions about non-submission of social networks to the model of manipulated and instrumented communication. This article is examining social networks in Russia within the context of parallel public sphere generating alternative to officially controlled media debate and makes evident political conditions of inclusion/non inclusion of opposition forces into public debate.

Research target: Philology and Linguistics Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: sociology humanitarian
Language: French
Full text
Keywords: социальные сетиsocial networkspublic sphereполитические коммуникацииобщественная сфераparallel mediapolitical debateisolationoppositional mediaполитические дебатыизоляцияоппозиционные СМИсоциология информации и коммуникациимассовая информациямассовая коммуникация в отдельных странахпараллельные медиаобщественное мнение
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