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  • Две модели принятия решений участником торгов на фондовой бирже по формированию и изменению своего инвестиционного портфеля
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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Две модели принятия решений участником торгов на фондовой бирже по формированию и изменению своего инвестиционного портфеля

2015. No. WP7/2015/02.
Belenky A., Egorova L.
Two mathematical models formalizing the decision-making process by a trader on developing and changing her investment portfolio in a stock exchange are presented. According to the first model the trader can correctly predict future values of financial securities of her interest. In this case, the problem of finding optimal strategies of investing in these financial securities is reduced to solving a linear programming problem. Under the second model, by means of linear inequalities of a balance type, the trader can estimate the area in which the values of the whole spectrum of the above financial securities may change. In this case, the same problem is formulated as an antagonistic game, analogous to the game with nature, with a nonlinear payoff function. It is proven that saddle points in this game can be found by solving linear programming problems forming a dual pair.
Priority areas: economics
Language: English
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Keywords: ценные бумагиportfolioпортфельседловая точкалинейное программированиеlinear programmingsaddle pointfinancial securities
Publication based on the results of:
Data Analysis and Decision Making in Socio-Economic and Political Systems (2015)
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