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Finance and Credit
 

The stock return drift effect after earnings announcements in the Russian stock market

ISSUE 6, JUNE 2026

Received: 14 January 2026

Accepted: 25 February 2026

Available online: 30 June 2026

Subject Heading: Securities market

JEL Classification: G11, G12, G14, G15, G17

Pages: 189-211

https://doi.org/10.24891/hdlbuc

Nikita E. GAL’VIK Saint-Petersburg State Economic University (SPbSEU), St. Petersburg, Russian Federation
nikgalv@mail.ru

ORCID id: not available

Subject. Subject. The impact of the post?earnings announcement drift (PEAD) effect on pricing in the Russian stock market.
Objectives. The study aims to investigate the presence of the post?earnings announcement drift effect in the Russian stock market, assess the stability of its manifestation over time, and evaluate its intensity depending on company size.
Methods. The research employed statistical analysis methods, with data processing carried out using Microsoft Excel. A range of empirical and theoretical methods were applied, including analysis, synthesis, induction, modelling, description, and comparison.
Results. A statistically significant excess of average monthly abnormal stock returns was detected in the period from the 1st to the 3rd month following the earnings disclosure month for companies with positive earnings surprises, compared to those with negative earnings surprises. The figures were 0.75?% for the 1st month, 1.22?% for the 2nd month, and 0.98?% for the 3rd month. However, in the 1st and 3rd months, the effect exhibited higher volatility and relatively low temporal stability.
Conclusions and Relevance. The post?earnings announcement drift effect is observed in the Russian stock market over the period from 2015 to 2024, specifically in the 1st–3rd months following the earnings disclosure month. The effect demonstrates the highest temporal stability and lowest volatility in the 2nd month. It is more pronounced among small companies with a market capitalization of less than 219?billion rubles. The effect was entirely absent in the 1st month for small and medium?sized companies, but was quite pronounced among large companies. The findings enrich the theoretical framework concerning the drivers of pricing in the Russian stock market associated with pricing anomalies. They can be used in developing investment strategies for the Russian stock market.

Keywords: drift effect, stock returns, pricing anomalies, stock market, efficient market

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