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News
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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Перспективы развития мер поддержки инвесторов в субъектах Российской Федерации в соответствии с принципами ОЭСР

Вестник псковского государственного университета. 2015. № 1. С. 3–13.
Makarova V. A., Герман А. А.

State support measures for investors are actively used by the regional authorities around the world, as well as in the Russian Federation. However, support measures may have both positive and negative effects on both the investors and the state. In order to avoid the negative effects of state support the Organization for Economic Co-operation and Development (OECD) set out the principles for such support measures, in the article a comparative analysis of the compliance of existing in the regions of the Russian Federation support measures with OECD principles is performed, the results of which are determined for the further development of support measures for investors in the Russian regions. In contrast, for example, from OECD transfer pricing principles these are considered much less studied, that presents interest for its adaptation to the existing support measures in the Russian regions. This article focuses on the development prospects of support measures for investors in the regions of the Russian Federation in accordance with the principles of the OECD.

Priority areas: economics
Language: Russian
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Keywords: инвестицииОЭСРinvestmentналоговые льготыOECDstimulationстимулирование инвестиционной деятельности tax incentives
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