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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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The Impact of Disclosure Sentiment on the Share Prices of Russian Companies

Journal of Corporate Finance Research. 2021. Vol. 15. No. 2. P. 5–15.
Maksim Kopyrin, Naidenova I. N.

Information about companies published in a news feed is invariably tinted by emotional tonality. As such, resulting
perceptions may influence the opinion of market players, and consequently affect the dynamics of a company’s share
price. This study aims to evaluate various hypotheses about the impact of the tone of news items regarding dividends,
capital expenditures, and development on the stock prices of Russian companies. Information disclosure is extensively
studied, and there have been limited studies on the effect of disclosures on Russian companies. However, until now, there
have been no research studies which verify hypotheses on the influence of news sentiment on corporate share prices in
the Russian market.

This analysis was conducted using data from 49 Russian public companies included in the Moscow exchange index
over the period from the end of 2017 to the beginning of 2019. To account for the proximate impact of news items on
consequential market phenomena, an event study methodology was applied in order to estimate and construct the
models of dependency of cumulative abnormal return (CAR) on news tone level, and control for financial and nonfinancial
factors.

Our results provide evidence for the positive impact of the tone of news texts on the share prices of Russian companies.
The increase in news tone by one standard deviation leads to a cumulative abnormal stock return increase of 0.26
percentage points. This result is consistent with previous research conducted on data from developed stock markets.
Moreover, the relationship between the tone or sentiment level of a news item and the stock price reaction is linear,
without the diminishing marginal effect.

Our conclusions should prompt companies to invest effort in delivering information in a tonally positive way,
highlighting the most positive news. Investors, in turn, should rationally approach the interpretation of published
information.

Research target: Economics and Management
Priority areas: economics
Language: English
Full text
DOI
Text on another site
Keywords: финансовая отчетностькорпоративные финансыраскрытие информацииfinancial reportsфондовые рынкиcorporate financenewsновостиsentiment analysisсобытийный анализ event studystock marketsанализ тональностиcorporate disclosure
Publication based on the results of:
Конкурентоспособность и опережающее развитие российского бизнеса на основе интеллектуальных ресурсов (2018)
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