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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.
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June 3, 2026
Creative Work as a Remedy for Burnout
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Smart Specialization as a Tool to Foster Innovation in Emerging Economies: Lessons from Brazil

Foresight and STI Governance. 2019. Vol. 13. No. 1. P. 35–47.
Bosch A., Vonortas N.

This paper is about the policy concept of smart specialization (RIS3) and its potential for application in emerging economies. This is an important issue as emerging economies continue to struggle against the forces of globalization and targeted investments through RIS3 strategies that may help them boost their (regional) innovation economies. Thus far, RIS3 has mostly been implemented by industrialized EU economies. Due to the structural differences, success in emerging economies may require more extensive groundwork prior to the implementation of an RIS3 strategy. This is specifically noted in the Brazilian example: smart specialization requires careful planning, the country needs to address some of its general issues with lagging innovation before it can focus on successfully implementing an RIS3 strategy. We believe that such an approach would be appropriate for other countries at similar stages of economic development.

Priority areas: economics
Language: English
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Keywords: БразилияЕвропейский СоюзEuropean Unionregional developmentBrazilregional innovation systemразвитие регионов региональная инновационная системаумная специализация smart specialization science, technology and innovation policypolicy learningуроки для политикигосударственная научно-техническая и инновационная политика
Publication based on the results of:
Tools for enhancing the efficiency of science, technology, and innovation foresight studies (2019)
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