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  • Стабилизация линейных стохастических систем с дисконтированием: моделирование долгосрочных эффектов применения оптимальных стратегий управления
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News
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
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Стабилизация линейных стохастических систем с дисконтированием: моделирование долгосрочных эффектов применения оптимальных стратегий управления

Математическое моделирование. 2015. Т. 27. № 1. С. 3–15.
Palamarchuk E. S.

We consider a problem of stabilization of linear stochastic control systems. The quadratic cost functional measures the total loss resulting from deviation of the process and control from their target levels. It includes the decision maker’s time preference expressed by means of discount function. We study the long-run impacts of average optimal policies in terms of mean-square deviation of optimal trajectory from its target and also in an almost-sure sense.

Research target: Mathematics Economics and Management
Priority areas: economics mathematics
Language: Russian
Text on another site
Keywords: квадратичный функционал качества управлениямежвременные предпочтенияtime preferencesбесконечный горизонт планированияquadratic costdiscount functionдисконтирующая функцияstabilization of linear systemsinfinite-time horizonстабилизация линейных систем
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How Universal is the Cool Water Effect? Evidence from the Unlikely Case of Russia
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Влияние доминирующего бизнеса на развитие цифровых экосистем в России
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Public Procurement as a Platform: An Ecosystem Capability Framework
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Small and medium-sized enterprises (SMEs) operate under conditions of chronic resource constraints, which makes it important to study strategies capable of transforming available resources into sustainable financial outcomes. One such strategy is entrepreneurial bricolage - the unconventional recombination of existing resources to address organizational challenges. This article examines the impact of bricolage on SME performance, ...
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The effects of ECB's monetary policy on growth: a sovereign bonds pricing approach
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The article is devoted to the review of the development of legislative and regulatory legal acts in terms of gradual unification and standardization of legal regulation of the provision of state support in the form of subsidies and gradual transition to unified rules for the provision of subsidies and the procedure for selecting recipients. The ...
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Added: June 1, 2026
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Added: June 1, 2026
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СПб.: Издательство МБИ имени Анатолия Собчака, 2025.
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Синяков А. А., Зверева В., Шелованова Т. И., / Центральный банк Российской Федерации. Серия 132 / 2024 "Серия докладов об экономических исследованиях". 2024. № 132.
At the end of 2023, Russia updated its Strategy for Improving Financial Literacy and Developing Financial Culture Until 2030. Unlike the previous strategy, the current strategic goals include not only financial literacy but also financial culture. ‘Culture’ is normative and socially preferred behaviour. The updated strategy brings into focus the relationship between financial literacy and responsible financial behaviour. To explore this relationship, the authors rely on data from the All-Russian Survey of Consumer Finance (2020 and 2022).  Socially ...
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Vorchik A., / SSRN. Серия Social Science Research Network "Social Science Research Network". 2026.
This work is devoted to a theoretical explanation of the Easterlin paradox, according to which long-term economic growth does not make average level of people's happiness increasing. By happiness, we mean the intensity of emotions people experience while comparing their new income with its expected value, or the target income with its original value. In the first case, ...
Added: May 31, 2026
Bifurcations and Structural Stability of Generic PC-HC Families
Dorovskiy A., / Series arXiv "math". 2026.
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Added: May 14, 2026
On the minimum number of maximal distance-k independent sets in trees
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Added: April 30, 2026
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Zlotnik Alexander, / Series arXiv "math". 2026. No. 2602.03481v1.
We deal with the global in time weak solutions to the 1D compressible Navier-Stokes system of equations for large discontinuous initial data and nonhomogeneous boundary conditions of three standard types. We prove the Lipschitz-type continuous dependence of the solution $(\eta,u,\theta)$, in a norm slightly stronger than $L^{2,\infty}(Q)\times L^2(Q)\times L^2(Q)$,  on the initial data $(\eta^0,u^0,e^0)$ in a ...
Added: April 18, 2026
Covariate-Balanced Weighted Stacked Difference-in-Differences
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This paper proposes Covariate-Balanced Weighted Stacked Difference-in-Differences (CBWSDID), a design-based extension of weighted stacked DID for settings in which untreated trends may be conditionally rather than unconditionally parallel. The estimator separates within-subexperiment design adjustment from across-subexperiment aggregation: matching or weighting improves treated-control comparability within each stacked subexperiment, while the corrective stacked weights of Wing et ...
Added: April 3, 2026
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