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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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Scientific institutions and the business community as key elements of the innovation system

P. 59–67.
Krylov P., Nazarov M. G., Usmanov M.

This paper examines the notion of the innovation process and the place of research institutes and universities in the innovation system. The role and functions of the entrepreneur and business communities in the innovation system are defined.

Language: English
Full text
Keywords: innovation systeminnovation process

In book

BUSINESS TRENDS: RESEARCH AGENDA IN INNOVATIONS AND ENTREPRENEURSHIP. Collection of scientific papers.
-, 2020.
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