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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
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April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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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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