?
Сентимент частных инвесторов в объяснении различий в биржевых характеристиках акций российского рынка
Журнал Новой экономической ассоциации. 2022. Т. 1. № 53. С. 53–84.
Abstract. In our paper, for the first time, we examine the influence of the sentiment of private investors in social networks on the trade characteristics of stocks in the Russian market. Monthly return rates and trading volumes are analyzed under the control of financial indicators and indicators of the quality of corporate governance of stock issuers, as well as the changing external environment in the period from 2013 to 2020. The sample for various sentiment metrics is based on unique data: messages in the Telegram and mfd.ru platforms. The tonality of messages is diagnosed according to the authors’ method using artificial intelligence (neural network). The main conclusion is: the sentiment can be seen as an explanatory factor in pricing and trading activity. The influence of sentiment is non-linear. The author’s HYPE indicator of sentiment is proposed and compared in terms of explanatory ability of the trade characteristics with a wide range of proxy variables. The explanatory ability to identify differences is realized through regression constructions on panel data. It is shown that trade characteristics are more sensitive to the growth of negative messages, which is consistent with the postulates of behavioral finance. An increase in messages’ number of both positive and negative sentiment contributes to the growth of trading activity. An important practical conclusion is: following the crowd when the company is most intensely discussed will not result in high returns to an investor.
Bessonova E., Popova S., Fedulova M., Emerging Markets Review 2026 Vol. 75 Article 101564
To mitigate the shocks caused by the pandemic-related restrictions, many governments implemented extensive support measures for companies facing sharp declines in revenues. In Russia, loan guarantee programmes allowed many firms to apply for loans during the pandemic. As a result, the number of small loans soared. Participation in the loan guarantee programmes helped firms in ...
Added: October 8, 2026
Kuzminov Y., Koshel A., Kruchinskaia E., Russian Journal of Economics 2026 No. 12(3) P. 311–334
The expansion of digital platforms and ecosystems is reshaping consumption and the structure of modern markets. In the Russian context, a representative survey conducted by the authors indicates frequent online purchasing driven primarily by time savings, broader assortment and price accessibility. Platforms thus generate consumer benefits, including non-monetary gains that are not fully captured by ...
Added: October 8, 2026
Rozhdestvenskaya E., Abramov R., Журнал социологии и социальной антропологии 2026 Т. 29 № 3 С. 244–274
The article presents an experimental study at the intersection of social anthropology and qualitative sociology. The empirical basis is a corpus of 18 short biographical sketches of collective farm peasant women from the village of Vysheley, Penza Region, created at the end of the Soviet period by school local historians and discovered by one of the authors during a ...
Added: October 7, 2026
Kuzminov Y., Kruchinskaia E., Koshel A. et al., М.: Издательский дом НИУ ВШЭ, 2026.
В научном докладе цифровые платформы впервые рассмотрены не как частный сегмент цифрового рынка, а как новый институциональный механизм организации экономики. В одной исследовательской рамке соединены экономика, право, социология, компьютерные науки, информационная безопасность, данные бизнеса и регуляторная практика — все то, что позволяет взглянуть на платформы как на институт со своими правилами игры. Особую ценность работе ...
Added: October 6, 2026
Lola I. S., Ostapkovich G. V., Asoskov D., ИСИЭЗ НИУ ВШЭ, 2026.
Центр конъюнктурных исследований Института статистических исследований и экономики знаний НИУ ВШЭ представляет информационно-аналитический материал «Потребительские настроения населения в III квартале 2026 г.», подготовленный в рамках Программы фундаментальных исследований НИУ ВШЭ.
В основу обзора положены ежеквартальные опросы более 5 тыс. человек в возрасте от 16 лет и старше. Такие опросы Федеральная служба государственной статистики (Росстат) проводит во всех субъектах ...
Added: October 6, 2026
Rastvortseva S., Tyushkevich Y., Salushkina Z. S., Journal of regional and international competitiveness 2026 Vol. 7 No. 2 P. 38–49
This paper examines the contemporary models of international competitiveness adopted by Big Tech corporations between 2010 and 2025. The study aims to identify the internal drivers underpinning the resilience of technological giants and to assess their capacity to withstand external shocks, including sanctions, geo-economic fragmentation, and regulatory shifts. To achieve this objective, the authors employ ...
Added: October 5, 2026
De Gruyter, 2026.
Post-Soviet Eurasia is one of the world's most geopolitically consequential and rapidly transforming regions. Developments across it increasingly reshape political, economic and social relations far beyond its borders. Understanding these dynamics is therefore both intellectually urgent and analytically demanding, requiring an interdisciplinary approach capable of moving beyond established categories and fragmented national perspectives.
This handbook provides ...
Added: October 5, 2026
М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
В шестнадцатом выпуске электронного издания «Вестник Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMSHSE)» представлены работы, подготовленные на основании данных лонгитюдного обследования домохозяйств «Российский мониторинг экономического положения и здоровья населения НИУ ВШЭ» (РМЭЗ НИУ ВШЭ) за 1992–2024 гг. В выпуске рассматриваются динамика доходов и расходов российских домохозяйств, тенденции развития рынка труда, социальное самочувствие ...
Added: October 5, 2026
Милицына П. С., Rozhkova K., Roshchin S. et al., Высшее образование в России 2026 № 8-9 С. 94–115
Привлечение и удержание молодых педагогов в школах является одним из важнейших вопросов для преодоления проблемы кадрового дефицита в системе образования. В статье анализируются особенности трудоустройства выпускников российских вузов педагогических специальностей выпуска 2021–2022 гг. На основе тотальных административных данных выявлены факторы, влияющие на вероятность их первоначального трудоустройства в школу и последующего закрепления в профессии. Результаты показывают, ...
Added: October 5, 2026
Автухова Е. Э., Larionov A., Плачинда К. Д., М.: Экономический факультет МГУ им. М.В. Ломоносова, 2026.
Данное методическое пособие разработано в соответствии с рабочей программой курса «Банковское дело», реализуемого на Экономическом факультете МГУ имени М. В. Ломоносова по специальности «Экономика» (бакалавриат), и может быть рекомендовано для подготовки к семинарским занятиям и самостоятельной работе студентов. ...
Added: October 4, 2026
Demidova O., Kazakova S., Applied Economics 2026 P. 1–14
This paper examines the nonlinear relationship between inflation and economic growth across Russian regions, contributing to the literature on the inflation-growth nexus by using subnational evidence from a large and economically heterogeneous country. Using panel data for 83 regions over the period 2015–2023, we estimate fixed-effects models with a quadratic specification of inflation. The growth-maximizing ...
Added: October 3, 2026
Tikhonova N. E., Karavay A., Социологическая наука и социальная практика 2026 Т. 14 № 3 С. 12–36
Drawing on data from the 2024 RLMS-HSE, the article shows that employmentrelated risks are increasingly being shifted onto workers in Russia, while employment differentiation already affects more than 40% of employed Russians, even without taking into account deviations from standard working hours, which are typical of most representatives of the mass social strata. Employment differentiation in Russia is characterized, ...
Added: October 2, 2026
Белов Б. П., Kocharian R., Самойлов И. А. et al., Стандарты и качество 2026 № 10 С. 105–109
Acceptance of enterprise AI search requires checking answer correctness and access controls, defining acceptable errors, and assessing whether testing is sufficient. A record for individual acceptance criteria was developed. Its eight fields link requirements and risks to system configuration, testing, and the acceptance decision. The fields are mapped to provisions in four Russian standards. The ...
Added: October 1, 2026
Пилюк Е. Р., Rozmainsky I. V., Журнал институциональных исследований 2026 Т. 18 № 3 С. 77–96
This paper analyzes the financial fragility оf cоmpanies in Saudi Arabia frоm 2012 tо 2025 based оn the Hyman Minsky’s financial instability hypоthesis and is the first attempt to apply this theory to a country dominated by Islamic banking. The authors test not only the relationship between the dynamics of financial fragility and the dynamics ...
Added: October 1, 2026
Klaro Ramires P. M., Veselova A., AlterEconomics (ранее - Журнал экономической теории) 2026 Т. 23 № 3 С. 699–718
As Russia transitions toward a green economy and reshapes its sustainable development agenda, understanding the external and internal factors influencing companies’ adoption of ESG principles is increasingly important. The study examines the relationships between external institutional pressure, internal organizational capabilities, and the effectiveness of corporate ESG practices. It focuses on external regulatory and non-regulatory mechanisms, ...
Added: October 1, 2026
Portnoy S., Efremov A., Voloshin A., , in: 2026 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO).: Petrozavodsk: IEEE, 2026. P. 1–4.
This paper presents a deep learning-based optimization of a list-decoding algorithm for a concatenated Hamming-Reed-Solomon code transmitted over an AWGN channel with BPSK modulation. The proposed method reformulates early termination of the erasure-pattern list as a weighted regression problem, addressing class imbalance through an asymmetric Weighted Mean Squared Error (WMSE) loss function that penalizes index ...
Added: October 1, 2026
Potanin B., Dolgikh S., Statistics and Probability Letters 2027 Article 110984
We derive bounds on the gradient and Hessian of the log-CDF, ln F(x), of the multivariate normal distribution. These bounds scale linearly and quadratically in ‖x‖ , respectively, with constants depending only on the covariance matrix. We demonstrate the usefulness of these bounds by proving asymptotic normality of the maximum-likelihood estimator of the multivariate probit ...
Added: October 1, 2026
Klochko O., Кузнецова М. П., Пространственная экономика 2026 Т. 22 № 3 С. 73–103
The article assesses China’s technological sovereignty in high-tech industries that form the ecosystem of physical artificial intelligence and its readiness to develop intelligent robotics. The aim of the study is to identify changes in China’s position in the global value chains of these industries through a comprehensive analysis of foreign value added used in production, ...
Added: October 1, 2026
Nikulina Y., Jamali Jaghdani T., Götz L. et al., / Series "Working Papers". 2026.
The impact of state subsidies on Russia's post-Soviet dairy output remains controversial; this study provides an empirical analysis of that relationship. Using an unbalanced panel dataset of 123 dairy enterprises in the Leningrad Region spanning the period from 2010 to 2023, we employ stochastic frontier analysis to assess these relationships. The results indicate that subsidies ...
Added: September 30, 2026
Nazarova A. G., Журнал Новой экономической ассоциации 2026 № 3(72) С. 87–104
The article explores how results of constructing aggregate national transfer accounts’ (NTA) estimates can be used for macroeconomic analysis and forecasts of current transfers in home economy. It presents the findings of the author’s study of their transfer modules over retrospective period of more than 10 years. The emphasis in the paper is focused on ...
Added: September 30, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., , in: Pattern Recognition. ICPR 2024 International Workshops and Challenges. Kolkata, India, December 1, 2024, Proceedings, Part III. LNCS, volume 15616.: Cham: Springer, 2025. P. 308–320.
This research explores an innovative approach to enhancing the accuracy of detecting small microorganisms in complex microscopic environments. Our study introduces a streamlined, hybrid image pre-processing model specifically designed to address the challenges of identifying diplococci in live microscopy of dynamic samples. By integrating pre-defined filtering techniques with predictive adjustments for optimal applicability, our method ...
Added: September 21, 2026
Lebedev O. B., Шмелева А. Г., Гежа Н. С., Информатика и автоматизация (Труды СПИИРАН) 2026 Т. 25 № 3 С. 720–750
This paper describes the development of a neural network model for automated analysis of medical data in electrophysiology based on deep learning methods. The relevance of this work stems from the growing need to improve the objectivity, speed, and accuracy of processing complex spatiotemporal signals, such as ECG or EEG. Convolutional neural networks (CNNs), which ...
Added: September 10, 2026
Vyacheslav D. Neverov, Lukyanov A., Andrey V. Krasavin et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 No. 2 Article 024515
We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026