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  • Влияет ли финансовое состояние компаний на прогностическую точность DCF-модели?
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Subject
News
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.

 

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Влияет ли финансовое состояние компаний на прогностическую точность DCF-модели?

Финансовый журнал. 2025. Т. 17. № 6. С. 99–112.
Федоров Н. С.

The DCF model is one of the most commonly used models in valuing companies for investment deci sions. Nevertheless, estimating the accuracy of this model remains an important research question. This article presents an assessment of the accuracy of DCF model specifications based on analyzing the variance of fair share prices of companies listed on the S&P 500 stock index. The fair prices from the DCF model are calculated using artificial intelligence algorithms. The analysis of the DCF model’s accuracy includes a comparison of fair prices with market and realized prices, which increases the reliability of the empirical analysis. The study shows that the accuracy of fair prices calculated on the basis of the DCF model specifications varies depending on the financial performance of companies.

Research target: Economics and Management
Language: Russian
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Keywords: искусственный интеллектfair priceсправедливая ценаDCFоценка стоимости компанийcompany valuation artificial intelligenceDCF
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