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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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Legal Aspects of the Use of Educational and Scientific Information Posted on the Intern et for Organizing e-Learning Accor ding to the Russian Example

P. 615–623.
Zharova A. K., Elin V.

In our research, questions about the legitimacy of using information that was posted publicly explored the features of the use of open licenses and other agreements for the to provide open content for e-learning in Russia. It was shown that the universities (in Germany, Russia, the United Kingdom, the United States, and France) considered the right to use the results of intellectual activity that was created by their employees in different ways. Emphasis is placed on the practice in Russia.

Language: English
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Keywords: educational

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Strategic Innovative Marketing. 4th IC-SIM, Mykonos, Greece 2015
Switzerland: Springer, 2017.
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