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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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Внутриличностная эмоциональная компетентность и эмпатия: факторы и профили связи на мультикультурной выборке

Консультативная психология и психотерапия. 2023. Т. 31. № 4. С. 125–150.
Карягина Т. Д., Chumakova M., Мазаева Е. С., Томчук М. А.

Relevance. Intrapersonal emotional competence — the ability to recognize, understand and regulate one’s own emotional states — is traditionally considered as a factor in both the ontogenetic development of empathy and its situational manifestation. However, there is a question of different levels and nature of the sources of emotional competence and empathy deficits and, accordingly, different ways to compensate for them, which is of particular importance for the practice of developing empathy, including the professional context of psychological counseling and psychotherapy. Goal. The purpose of this study was to analyze the diversity of connections between empathy, alexithymia as an indicator of the deficit of emotional competence in relation to one’s own feelings and psychological mindedness as an indicator of intentionality in relation to feelings and experiences. Materials and methods. On a combined sample of 1123 people, including representatives of three cultures — Russia, Belarus, Armenia — data from the IRI questionnaire (empathy), TAS-20 (alexithymia) and “The psychological mindedness scale” were collected and analyzed. Results. The absence of significant negative connections of empathy with difficulties of awareness and identification of feelings, a stable significant positive connection with them of empathic personal distress, as well as externally oriented thinking with low empathy were found 5 clusters have been identified, reflecting different variants of the connection between emotional competence and empathy. Conclusions. The conclusion is made about the relative independence of the influence of intentionality and competence/lack of emotional competence on empathy, as well as the need for further analysis of intentionality in the field of experiences and emotions.

Research target: Psychology
Language: Russian
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Keywords: эмпатияэмоциональная компетентностьempathyсопереживаниедецентрацияemotional competence“психологическая разумность”psychological mindednessperspective-taking alexithymiaалекситимияempathic personal distressempathic concernregulation of empathyintentionality in the field of emotions and experiencesэмпатический личный дистрессэмпатическая заботарегуляция эмпатииинтенциональность в области эмоций и переживаний
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