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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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Соматические симптомы и поведение, связанное с риском для здоровья, в среде российской молодежи: уроки пандемии COVID-19

Здоровье населения и среда обитания. 2024. Т. 32. № 2. С. 26–31.
Zolotareva A.

Introduction: People of many countries have become more susceptible to health risk behavior during the COVID-19 pandemic. Modern experts have studied psychological, but not psychosomatic outcomes of this susceptibility. Objective: To examine somatic symptoms and health risk behavior, their prevalence and associations among Russian youth during the COVID-19 pandemic. Materials and methods: In 2021–2022, 1,050 young Russians aged 18 to 25 years were surveyed. They filled out the Patient Health Questionnaire-15 and a form containing questions about behavioral patterns in relation to sleep, diet, smoking, alcohol consumption, and physical activity during the COVID-19 pandemic. Results: Among the respondents, 32 % were somatized, 79 % slept less than 7 hours a day, 89 % ate junk food, 40 % smoked regular or electronic cigarettes, 46 % often consumed alcohol, and 81 % had low physical activity. Somatization was more frequent in women, while health risk behavior was more common in men and the respondents with somatic symptoms. Conclusion: It is important to develop and implement programs of psychological education and prevention of somatization and health risk behavior.

Research target: Psychology
Language: Russian
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Keywords: психологическая профилактикасоматические симптомыpsychological educationCOVID-19 pandemicпандемия COVID-19somatic symptomshealth risk behaviorpsychological preventionповедение, связанное с риском для здоровьяпсихологическое просвещение
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