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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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Самарская область: от индустриальной к постиндустриальной экономике

M. : -, 2006.
Титов К., Grigoryev L. M.
Chapters
Валовой региональный продукт
Poletayev A., В кн.: Самарская область: от индустриальной к постиндустриальной экономике.: М.: ТЕИС, 2006. С. 54–73.
Валовой региональный продукт (ВРП) — показатель, измеряющий валовую добавленную стоимость, исчисляемый путем исключения из суммарной валовой продукции объёмов её промежуточного потребления. Представлен анализ ВРП Самарской области. ...
Added: July 3, 2013
Промышленность: Общая характеристика
Poletayev A., В кн.: Самарская область: от индустриальной к постиндустриальной экономике.: М.: ТЕИС, 2006. С. 228–239.
Added: July 3, 2013
Research target: Economics and Management Political Science, International Relations, and Public Administration
Priority areas: economics management state and public administration
Language: Russian
Keywords: Самарская областьпостиндустриальная экономикаиндустриальная экономика
Самарская область: от индустриальной к постиндустриальной экономике
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Agglomeration policy has long been a widely accepted approach in spatial development, premised on the assumption that large, integrated city-regions drive national economic growth through higher productivity, innovation, and global integration. This paper examines how this paradigm is reworked under conditions of polycrisis, understood as a durable state of overlapping and mutually reinforcing economic, geopolitical, and institutional crises. Focusing ...
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