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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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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.
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Асимптотика решения задачи о течении сжимаемой жидкости (газа) внутри трубы с малыми периодическими неровностями при больших числах Рейнольдса

С. 1–2.
Fonaryova A.
Language: Russian
Full text
Text on another site
Keywords: теория пограничного слоя
Publication based on the results of:
Mathematical Modeling of Resonance SystemsMathematical modeling of resonance systems (2019)

In book

Материалы Международного молодежного научного форума «ЛОМОНОСОВ-2019»
Материалы Международного молодежного научного форума «ЛОМОНОСОВ-2019»
М.: МГУ, МАКС Пресс, 2019.
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Fonaryova A., В кн.: Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. Материалы конференции.: М.: МИЭМ НИУ ВШЭ, 2020. С. 53–55.
В работе построено формальное асимптотическое решение задачи о дозвуковом нестационарном течении вязкой сжимаемой жидкости в двумерном канале с малыми периодическими неровностями на стенках при больших значениях числа Рейнольдса. Проведено численное моделирование, демонстрирующее влияние плотности основного потока на поведение в пристеночной области. ...
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В докладе приводится детальное описание нестационарных двухпалубных и трехпалубных структур пограничного слоя. А именно, рассматривается нестационарная задача обтекания вязкой несжимаемой жидкостью полубесконечной пластины с малыми периодическими неровностями при больших значениях числа Рейнольдса. Построено формальное асимптотическое решение, имеющее двух- или трехпалубную структуру пограничного слоя, в зависимости от масштабов неровности. Полученные уравнения для членов асимптотического решения исследованы ...
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