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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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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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Preferences over Mixed Manna

P. 169–178.
Alexander Karpov
Language: English
Full text
DOI
Text on another site
Keywords: preferencesотношение предпочтения
Publication based on the results of:
Analysis of models of multi-criteria, social, optimization and structural choice of solutions (2023)

In book

Data Analysis and Optimization. In Honor of Boris Mirkin's 80th Birthday
Springer, 2023.
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In the paper, combinatorial theorems related to the theory of social choice are obtained. These theorems describe general conditions under which the problem on the preserving the preference set D by anarbitrary aggregation rule f and the problem on the compatibility of the preference set D with a pair (f,C) can be reduced to similar ...
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