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Влияние тональности писем CEO на финансовые показатели компании
Российский журнал менеджмента. 2017. Т. 15. № 4. С. 441–462.
The paper is devoted to the analysis of CEO letters as an instrument for influencing the expectations of shareholders and potential investors. The aim of the research is to analyze empirically the influence of semantic characteristics of CEO letters on financial indicators of the company. The authors suggested that CEO letter’s tonality, its length and readability have a great impact on the company’s financial indicators, their prediction and mid-year stock value. To check the hypotheses stated, a sample group of 102 Russian companies was analyzed with the use of “bag of words” method (specialized dictionaries were applied). For this purpose, neural network models were also developed. The results obtained confirmed the influence of CEO letter’s semantic characteristics on the stock value of company.
Nikulina Y., / Высшая школа экономики. Серия EC "Economics". 2026. № 1.
This paper estimates the impact of the international sanctions of 2014 and 2022, as well as the food embargo, on the technical efficiency of agricultural enterprises. The assessment was carried out using panel data from agricultural enterprises specializing in dairy production in the Leningrad Region for the period 2010–2023, employing stochastic frontier analysis. It is ...
Added: October 11, 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
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
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
Kapeliushnikov R., / Высшая школа экономики. Серия WP3 "Проблемы рынка труда". 2026. № WP3/2026/02.
The paper is the first attempt in the Russian literature to assess returns to platform employment in the Russian labor market. The theory offers no clear predictions regarding its impact on workers’ earnings: there might be both a premium and a penalty. We distinguish three groups of workers: employees; self-employed using internet-platforms; self-employed not using ...
Added: September 28, 2026
Usvitskiy A., Mizyakov V., / Series "SSRN Working Paper Series". 2026.
Added: September 24, 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
Fedorova E., Ledyaeva S., Stepanov V., International Review of Economics and Finance 2026
This study investigates the influence of low-quality information, specifically fake news, on short
term stock returns, contributing to the discourse on signal theory and behavioral economics.
Employing a machine learning approach, the authors developed a robust fake news dataset from
publicly available sources. Sentiment analysis was conducted using a FinBERT model fine-tuned
for stock market contexts, alongside extensive dataset ...
Added: September 12, 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
Khodadoust J., Kulikova S., Khodadoust F., Biomedical Signal Processing and Control 2027 Vol. 129 Article 111284
Acute ischemic stroke (AIS) analysis from two-dimensional (2D) clinical imaging is hindered by uncontrolled slice tilt and geometric inconsistencies that violate the assumptions of pose-agnostic deep learning (DL) models. This paper proposes a unified geometry-aware, frequency-domain framework for tilted slice localization and ischemic stroke segmentation that explicitly decouples pose estimation from lesion analysis. The method ...
Added: September 2, 2026
Zhuravleva T., Afanasev K., Engelmann J. et al., / Series "SSRN Working Paper Series". 2026.
Extortionary ("harassment") bribery can persist even when widely condemned, consistent with a coordination problem sustained by beliefs about what others do and what others consider acceptable. We study whether a minimal institutional featurethe presence of a third-party monitor empowered to punish-shifts (i) normative expectations about extortion and compliance and (ii) empirical expectations about their prevalence. ...
Added: July 22, 2026
Mishin A., Guerrieri L., Kim J., / Series 2026-042 "Finance and Economics Discussion Series (FEDS)". 2026.
Within narrowly defined industries, the most productive firms produce far more than the least productive from the same inputs, and this dispersion widens in downturns. We build a tractable representative-agent model in which financial frictions—adverse selection and moral hazard—make firms sort endogenously into lenders, strategic defaulters, and producers. As credit conditions vary, the resulting misallocation ...
Added: June 28, 2026
Власов С. А., Nevalennyi M., Сафиулин Р. Р. et al., / Банк России. Серия Аналитическая записка "Материалы Банка России". 2026.
В аналитической записке обсуждается долгосрочно устойчивый уровень цены на российскую нефть. Это тот уровень, к которому цена нефти, вероятнее всего, будет тяготеть в долгосрочной перспективе. Потребность в его определении возникает по нескольким причинам. Во-первых, цена на нефть остается одним из ключевых экономических показателей российской экономики, определяющих экспорт, обменный курс рубля, прибыль, доходы и расходы бюджета, ...
Added: June 27, 2026
Глазова А. М., Nevalennyi M., Синяков А. А., / Банк России. Серия Препринты Банка России "Серия докладов об экономических исследованиях". 2025. № 154.
The paper proposes a graphical model of a small open economy. The dynamics of the graphical model is then illustrated using impulse responses from the corresponding formal semi-structural model (QPM model). The authors have several goals in preparing this description of the graphical macroeconomic model. The first goal of the paper is to present an adapted ...
Added: June 27, 2026
Mishin A., Guerrieri L., Canzoneri M. et al., / Series 2026-042 "Finance and Economics Discussion Series (FEDS)". 2026.
Added: June 27, 2026
Bogatyrev R., Sandomirskaia M., / NRU Higher School of Economics. Series EC "Economics". 2026. No. 19(1).
This work develops a tractable model of price competition in fragmented markets where consumers consider both local and distant varieties, with cross-regional purchases subject to stochastic costs. Global competition and full localization emerge as polar cases; hybrid competition is not merely intermediate and exhibits distinctive features such as an endogenous price ceiling and non-monotonic entry ...
Added: June 11, 2026
Seul: PMLR, 2026.
Added: June 4, 2026
Kravtsova M., Musaev A. U., Welzel C., / Series "SSRN Working Paper Series". 2026.
Elaborating on Welzel et al.'s "Cool Water Theory," our study zooms into the more limited (albeit still varied) framework conditions of Russia's huge territory. Within Russia's confines, we examine how the combination of moderately cool seasons with steady rain (i.e., Cool Water) affects sub-national areas' contemporary societal progress in two modernization indicators: material prosperity in ...
Added: June 3, 2026
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 ...
Added: June 1, 2026
Tyuryakova-Matveeva D., Цифровые гуманитарные исследования 2026 № 1 С. 4–26
The article explores cultural references in the works of Andrei Voznesensky by analyzing the personalities he mentions. A total of 1,678 works were processed, including poetry, prose, and early unpublished poems. NER methods based on Natasha, spaCy, and LLM Grok tools made it possible to study the frequency of mentions of famous people and their ...
Added: May 31, 2026
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
Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026