?
The Impact of Corporate News on Stock Prices: Evidence from the Russian Stock Market
Journal of Corporate Finance Research. 2022. Vol. 16. No. 2. P. 44–55.
In the face of complex sanctions, Russian companies are looking for new mechanisms to ensure sustainability. An over - crowded corporate news backdrop could be the source for a significant decline in a company’s market value or growth. Given the importance of information disclosure and corporate news for investors’ expectations, we estimate the effect that four types of corporate news (Official publication of financial results for the quarters and for the year; M&A; Appointment of new persons; Dividend policy) impose on shares of three Russian companies in different industries: the financial, energy and high-tech sectors. In order to reflect corporate news’ influence, we developed an index of corporate news for the com - panies concerned utilizing daily data ranging 2015–2021. By applying a vector error-correction model, we demonstrate that corporate news and corporate equities are related over the long run. Short-run results obtained with the Granger test sug - gest no evidence of causality. At the second stage, we construct impulse response functions that affirm the effect of corporate news on stocks. Corporate news has a high and positive effect on stock prices in the high tech and energy sectors, while the financial sector reacts in a mixed manner to corporate news, and the effect is weak. Obtained results serve as the basis for practical recommendations to individual and institutional investors, as well as to companies for market value management.
М.: Московский Политех, 2026.
Основной целью конференции является освещение проблем, связанных с внедрением технологий искусственного интеллекта в управление городским хозяйством города Москвы. Участниками были представлены инновационные решения для оптимизации использования ресурсов и городской инфраструктуры. Особое внимание было уделено решению задач прогнозирования и аналитического моделирования для повышения эффективности работы городских систем.
Тезисы докладов содержат разностороннее исследование теоретических и практических вопросов развития ...
Added: September 16, 2026
Abdullaev A., Sivaev S., Regional Research of Russia 2026 Vol. 16 No. 3 P. 518–530
The article examines the specific features of implementing regional programs of targeted social support for housing and communal services payments in Russia. The aim of the study is to identify differences between the federal subjects in key parameters of the program, targeting and coverage of households with housing subsidies, as well as in the results of ...
Added: September 16, 2026
Gokhberg L., Abdrakhmanova G., Kutsenko E. et al., Вопросы статистики 2026 Т. 33 № 4 С. 5–20
This article examines the methodological and practical issues associated with the transition to the new edition of the All-Russian Classifier of Economic Activities (OKVED) – OKVED3. The relevance of the study stems from the need to reflect contemporary structural changes in the economy, related to the transformation of the existing economic activities and emergence of ...
Added: September 15, 2026
Makarov I. A., Россия в глобальной политике 2026 Т. 24 № 4 (140) С. 164–182
Три с половиной года остаётся до 2030-го – окончания срока реализации Целей устойчивого развития (ЦУР) – главной международной инициативы, устанавливающей долгосрочные ориентиры для будущего человечества. Уже очевидно, что она провалилась: преодоление бедности, решение экологических проблем и построение инклюзивного и справедливого общества остались красивой мечтой. Кто-то может воспринимать ЦУР как памятник человеческой наивности. Но надо понимать, что эта ...
Added: September 14, 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
Карпова Д. А., Sizova I., Gordin V. E., Креативные индустрии 2026 Т. 2 № 2 С. 10–31
This article examines the musealisation of industrial heritage and its role in regional and corporate branding. The relevance of this study stems from deindustrialisation processes, the growth of industrial tourism, and the need to preserve historical memory, which is particularly important in the context of Russian realities—the lack of a legal definition of the concept ...
Added: September 9, 2026
Veselova L. S., Морозова В. С., Дарчиева А. А., Управленец 2026 Vol. 17 No. 4 P. 66–78
На фоне развивающихся торгово-экономических отношений между Россией и Китаем российские десерт- ные бренды получают новые возможности для выхода на китайский рынок. Однако их присутствие ограничено преи- мущественно приграничными регионами, а продвижение сдерживается недостаточной адаптацией к социокультурным особенностям китайских потребителей. Статья посвящена разработке практических рекомендаций по формированию стратегии адаптации российских десертных брендов к специфике китайского рынка. ...
Added: September 9, 2026
Kilinc-Ata N., Warong M. M., SN Business & Economics 2026 Vol. 6 Article 326(2026)
Green transitions are widely expected to attract cleaner capital and accelerate decarbonization; however, emerging-economy evidence increasingly challenges this assumption. This study examines the dynamic relationship between energy transition indicators and capital inflows in BRICS+ economies over the period 1996–2022, explicitly testing the “Green Haven” hypothesis under conditions of global uncertainty. Unlike much of the existing ...
Added: September 9, 2026
Warong M. M., International Journal of Diplomacy and Economy 2026
This study conducted in Indonesia between 2000 and 2023, demonstrates a complex, non-linear interplay between the economic environment and the emergence of clean energy start-ups. Using Autoregressive Distributed Lag and Markov Switching models, the research shows that start-up formation coincides with periods of lower GDP growth, suggesting that innovation is often spurred by necessity. Two ...
Added: September 9, 2026
Berzon N. I., Якушова О. В., Финансы и бизнес 2025 Т. 21 № 4 С. 27–37
Российский фондовый рынок в последние годы переживает масштабную
трансформацию, обусловленную не только макроэкономическими и политическими
изменениями, но и активным притоком розничных инвесторов. Особенно
интенсивный рост наблюдается с 2020 г., что отражает растущую вовлеченность
населения в инвестиционную деятельность. ...
Added: March 10, 2026
Sizykh N., Кудрявцева Н. С., Управление большими системами: сборник трудов 2025 № 118 С. 250–285
Numerous studies in the field of forecasting securities prices, particularly stock prices, are aimed at finding more accurate and effective models. However, attention to multivariate forecasting, which allows for more accurate forecasts, remains underappreciated, as its implementation requires a significant increase in computing resources. Therefore, the selection of more simplified yet effective models is relevant. ...
Added: February 3, 2026
Sizykh N., Sizykh D., , in: 2025 18th International Conference on Management of Large-Scale System Development (MLSD).: IEEE, 2025. P. 1–4.
This paper examines methods for analyzing structural changes in investment portfolios and proposes new approaches for assessing turnover and the effectiveness of their rebalancing. The study aims to systematize and adapt statistical indicators of structural shifts for analyzing the dynamics of securities portfolios, as well as to develop methodologies for assessing the proportion of changes ...
Added: February 1, 2026
Rechmedina S., Haniev A., Suhih V., Вестник Московского университета. Серия 6: Экономика 2025 Т. 60 № 3 С. 40–62
Periods of high market volatility put investors in a situation where conventional decision- making methods are less reliable. To improve returns, market participants need to understand which factors play a big role in portfolio formation. This article analyzes the determinants of Russian stock returns during the Covid-19 and the rise in geopolitical tension in 2022. ...
Added: December 11, 2025
Makeeva N., Наволоцкая П. А., Iskyandyarov R. et al., Вопросы экономики 2026 № 6 С. 135–154
This paper analyzes the informational value and predictive power of retail investor sentiment, formed by news flows and social media publications, for the dynamics of the Russian stock market. The aim of the study is to assess the informational value and predictive power of sentiment indicators, calculated using the FinBERT model, for key stock market ...
Added: December 2, 2025
Sergei Semakov, International Journal of Dynamics and Control 2025 Vol. 13 No. 5 Article 201
We consider the problem of the exit of a diffusion Markov process to the boundary of a given domain. We concentrate on the one-dimensional case and solve the problem of finding the probability that the first exit of the process beyond the established corridor will occur at a given time. We apply the obtained results ...
Added: August 2, 2025
Fayzulin M., Финансовый журнал 2024 Т. 16 № 4 С. 95–113
In this paper, the sentiment of private investors and the divergence of opinions of users of online investment platforms are analyzed as factors in the emergence of herd behavior on the stock market in different clusters. This clusters are formed on the basis of stock exchange information on shares of Russian issuers. The relevance of ...
Added: August 28, 2024
Nazarova V., Churakova I., Suvorova M., The Journal of the New Economic Association 2024 No. 2 (63) P. 117–143
This research investigates the Russian stock market response to COVID-19 pandemic and compares how the reactions to it varied among the industries. The event study and Wavelet coherence were applied to answer the research question. It was discovered that the Russian stock market in general had a strong negative reaction to the COVID-19 outbreak. However ...
Added: July 1, 2024
Galanova A., Кайгулова З. Р., Наука и практика. Научно-аналитический журнал РЭУ им. Г.В. Плеханова 2023 Т. 15 № 4 (52) С. 44–60
The stock prices of Russian banks are influenced by an infinite number of factors including the fact of their mergers and acquisitions. Usually, the general reaction of the announcement of such transactions on the stock prices of commercial banks that have joined some other bank is investigated using the event study methodology. This reaction has ...
Added: June 24, 2024
Nazarova V., Лещев С. И., Финансовый журнал 2023 Т. 15 № 1 С. 58–73
In this paper, the momentum effect is viewed as a price anomaly whereby portfolios of assets of the same return class exhibit a systematic outperformance in profit generation relative to a given benchmark (e.g., a market index). The study contributes to a better understanding of the momentum effect in the Russian stock market. Using data ...
Added: March 7, 2023
Teplova T., Tomtosov A., Sokolova T., Plos One 2022 Vol. 17 No. 12 Article e0276924
In this study, using AI, we empirically examine the irrational behaviour, specifically attentiondriven trading and emotion-driven trading such as consensus trading, of retail investors in an emerging stock market. We used a neural network to assess the tone of messages on social media platforms and proposed a novel Hype indicator that integrates metrics of investor ...
Added: January 16, 2023
Galanova A., Епифанова Д. И., Вестник Московского университета. Серия 6: Экономика 2022 № 2 С. 71–93
Modern social networks are becoming a significant factor in stock market pricing because the information they generate expands the aggregate news background that determines stock prices according to currently prevailing efficient market theory. The news generated in the electronic media affect all the spheres forming supply and demand not only for manufactured goods but also ...
Added: April 21, 2022