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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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COVID-19 Pandemic, Catalytic Institutions, and Consumer Well-Being: Evidence from Russia

Ch. 18. P. 367–388.
Krasnikov A. V., Rebiazina V. A., Berezka S.

The purpose of this chapter is to examine changes in the well-being of Russian consumers, caused by the COVID-19 pandemic. Building upon both micromarketing and macromarketing perspectives, the authors identify key topics in studies of consumer behavior during the world-wide spread of a novel and deadly coronavirus, and examine changes in behaviors in relation to individual and community well-being in Russia. These topics are further examined using data collected during the outbreak of COVID-19 to compare changes in individual and community well-being across in Russia, Brazil, China, India and South Africa. Finally, the authors examine how Russian consumers adjust their behaviors during lockdown. The results shed light on changes to consumer behavior patterns caused by global pandemic in a transitional economy, with implications for health-and-well-being management in Russia and potentially other transitional economies distressed by future health crises.

Language: English
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Keywords: RussiaBRICSConsumer BehaviorConsumer Well-beingQuality-of-LifeCOVID-19digital transformation

In book

Community, Economy and COVID-19: Lessons from Multi-Country Analyses of a Global Pandemic
NY: Springer, 2022.
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