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June 4, 2026
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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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Лазеры и микролазеры на основе квантовых точек

СПб. : ПОЛИТЕХ-ПРЕСС, 2019.
Жуков А. Е.
Research target: Physics Nanotechnologies
Priority areas: engineering science
Language: Russian
Full text
DOI
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Keywords: квантовые точкиquantum dotssemiconductor laserполупроводниковый лазер
Лазеры и микролазеры на основе квантовых точек
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