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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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Open Data and Open Government: From Abstract Principles to Institutionalized Practices

Ch. 10. P. 76–85.
Styrin E. M., Luna-Reyes L., Harrison T.

We compare the implementations and practices of open government and open government data in Mexico, Russia, and the US using a set of common concepts focused on policy environment and context. After providing thumbnail sketches of each country, we consider how variations among the countries are relate to context-specific historical problems, policies and politics From there we comment on the prospects for the institutionalization of open government and open data in each country.

Language: English
Full text
DOI
Text on another site
Keywords: open governmentcase studyinstitutionalizationopen datacomparative research

In book

dg.o '16: Proceedings of the 17th International Digital Government Research Conference on Digital Government Research
NY: Association for Computing Machinery (ACM), 2016.
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