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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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CHINAS NEW EURASIAN AMBITIONS: THE ENVIRONMENTAL RISKS OF THE SILK ROAD ECONOMIC BELT

Eurasian Geography and Economics. 2017. Vol. 58. No. 1. P. 56–88.
Tracy E. F., Shvarts E., Simonov E., Babenko M.

China is moving ahead with the Silk Road Economic Belt, an ambitious infrastructure development agenda with the distinct promise of regional and sub-regional economic development. However, the initiative will create new environmental risks across the entire Eurasian continent, especially in countries with predominately poor records of environmental governance, including the former Soviet republics and Russia. Concurrently, on the domestic front, the Chinese Government has launched a new policy paradigm, “ecological civilization,” to dramatically improve environmental regulations, reduce pollution, and transform industries by adopting new green technologies and higher environmental standards. But does China’s intention to go through a “green shift” domestically resonate with these new transborder infrastructure development mega-projects? This paper will attempt to answer this question by juxtaposing China’s new domestic policy paradigm with environmental standards currently proposed in its global outreach projects focusing on China-northern Eurasia and China-Russia, including trade exchanges in natural resources.

Research target: Economics and Management Political Science, International Relations, and Public Administration Earth Sciences
Language: English
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Keywords: RussiaChinaThe Silk Road Economic Beltecological modernizationstrategic environmental assessment (SEA)environmental impact assessment (EIA)transboundary environmental risksglobal environmental governance
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