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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.
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
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Поляризационные и спектрально-пространственные свойства излучения в хиральных полупроводниковых наноструктурах

Письма в Журнал экспериментальной и теоретической физики. 2017. Т. 106. № 10. С. 615–620.
Максимов А., Пещеренко А. Б., Филатов Е. В., Tartakovskii I. I., Kulakovskii V., Тиходеев С. Г., Лобанов С. В., Шнайдер Х., Хёфлинг С.

A detailed study of the degree of circular polarization and the angular dependence of the emission spectra of
an array of InAs quantum dots embedded in GaAs photonic nanostructures with chiral symmetry in the
absence of an external magnetic field is carried out. A strong angular dependence of the spectra and the degree
of circular polarization of radiation from quantum dots, as well as a significant effect of the lattice period of
the photonic crystal on the radiation characteristics, is observed. The dispersion of photonic modes near the
and Bragg resonances is investigated in detail. The experimentally observed polarization,
spectral, and angular characteristics of the quantum-dot emission are explained in the framework of a theory
describing radiative processes in chiral photonic nanostructures.

Research target: Physics
Language: Russian
Full text
DOI
Keywords: квантовые точкиquantum dots circular polarization chiral photonic nanostructuresциркулярная поляризацияхиральные полупроводниковые наноструктуры
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