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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ecpolicy</journal-id><journal-title-group><journal-title xml:lang="ru">Экономическая политика</journal-title><trans-title-group xml:lang="en"><trans-title>Economic Policy</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1994-5124</issn><issn pub-type="epub">2411-2658</issn><publisher><publisher-name>Economic Policy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18288/1994-5124-2026-4-6-37</article-id><article-id custom-type="elpub" pub-id-type="custom">ecpolicy-838</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ФИНАНСОВЫЕ РЫНКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FINANCIAL MARKETS</subject></subj-group></article-categories><title-group><article-title>Премия за риск по акциям российских компаний: теория и ее практическое применение</article-title><trans-title-group xml:lang="en"><trans-title>The Equity Risk Premium of Russian Companies: Theory and Practice</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2242-9994</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Радыгин</surname><given-names>А. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Radygin</surname><given-names>A. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Дмитриевич Радыгин, Доктор экономических наук, профессор, директор Института прикладных экономических исследований</p><p>119571, Москва, пр. Вернадского, 82</p></bio><bio xml:lang="en"><p>Alexander D. Radygin, Dr. Sci. (Econ.), Professor, Director of the Institute of Applied Economic Research</p><p>82, Vernadskogo pr., Moscow, 119571</p></bio><email xlink:type="simple">arad@ranepa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4285-9115</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Абрамов</surname><given-names>А. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Abramov</surname><given-names>A. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Евгеньевич Абрамов, Кандидат экономических наук, заведующий лабораторией анализа институтов и финансовых рынков Института прикладных экономических исследований</p><p>119571, Москва, пр. Вернадского, 82</p></bio><bio xml:lang="en"><p>Alexander E. Abramov, Cand. Sci. (Econ.), Head of the Laboratory for Analysis of Institutions and Financial Markets, Institute of Applied Economic Research</p><p>82, Vernadskogo pr., Moscow, 119571</p></bio><email xlink:type="simple">abramov-ae@ranepa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0144-1820</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чернова</surname><given-names>М. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Chernova</surname><given-names>M. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мария Игоревна Чернова, Кандидат экономических наук, старший научный сотрудник лаборатории анализа институтов и финансовых рынков Института прикладных экономических исследований</p><p>119571, Москва, пр. Вернадского, 82</p></bio><bio xml:lang="en"><p>Maria I. Chernova, Cand. Sci. (Econ.), Senior Researcher at the Laboratory for Analysis of Institutions and Financial Markets, Institute of Applied Economic Research</p><p>82, Vernadskogo pr., Moscow, 119571</p></bio><email xlink:type="simple">chernova-mi@ranepa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian Presidential Academy of National Economy and Public Administration</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>20</day><month>08</month><year>2026</year></pub-date><volume>21</volume><issue>4</issue><elocation-id>6–37</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Радыгин А.Д., Абрамов А.Е., Чернова М.И., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Радыгин А.Д., Абрамов А.Е., Чернова М.И.</copyright-holder><copyright-holder xml:lang="en">Radygin A.D., Abramov A.E., Chernova M.I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.ecpolicy.ru/jour/article/view/838">https://www.ecpolicy.ru/jour/article/view/838</self-uri><abstract><p>Статья посвящена анализу исторической и прогнозной премии за риск на российском рынке акций в условиях сокращения инвестиционного горизонта участников рынка и опоры преимущественно на внутренние ресурсы. Целью исследования является обоснование долгосрочных преимуществ инвестирования в акции. В работе применен комплексный подход, включающий расчет исторической премии за риск на основе трех прокси безрисковой ставки, адаптацию моделей декомпозиции ожидаемой доходности и формализованное анкетирование моделей искусственного интеллекта. Выявлено, что на инвестиционных горизонтах длиной десять лет акции российских компаний сохраняют устойчивое историческое преимущество перед облигациями. Прогноз на период с 2025 по 2032 год указывает на ожидаемую премию за риск около 7% годовых, а основными драйверами при этом станут дивидендная доходность и потенциал роста фундаментальной оценки рынка. «Опрос» ИИ-моделей подтвердил консенсус-прогноз положительной премии (в диапазоне 5,9–6,7% годовых). Проведенный анализ позволяет сделать вывод, что текущая недооценка рынка во многом обусловлена краткосрочной динамикой циклических факторов. Увеличение горизонта инвестирования может стать способом минимизации влияния волатильности процентных ставок. Для формирования фундаментально обоснованной среды для инвестиционного анализа и прогнозирования необходимы внедрение регулярного расчета показателя CAPE , а также интеграция долгосрочных макропрогнозов в стратегии институциональных инвесторов. Реализация этих мер призвана способствовать трансформации внутренних сбережений в стабильные источники долгосрочного финансирования и росту капитализации российского фондового рынка. </p></abstract><trans-abstract xml:lang="en"><p>This paper examines the historical and projected equity risk premium (ERP) for the Russian stock market in view of the narrowing investment horizons of market participants and the increasing reliance on domestic resources. The study aims to substantiate the long-term advantages of equity investments. The methodology employs a comprehensive approach, including ERP calculation based on three risk-free rate proxies, the adaptation of expected return decomposition models, and formalized benchmarking via artificial intelligence (AI) models. The findings reveal that over 10-year horizons, Russian equities maintain a resilient historical advantage over bonds. The forecast for the 2025–2032 period points to an expected risk premium of approximately 7% per annum, driven primarily by dividend yields and the potential for valuation recovery from currently distressed levels (5.5 x CAPE). AI-based analysis confirms a consensus forecast for a positive premium within the 5.9–6.7% range. The analysis concludes that current market undervaluation is largely driven by temporary cyclical factors. Extending the investment horizon to 10 years serves as a strategic tool to mitigate interest rate volatility. To foster a framework grounded in fundamentals for investment analysis and forecasting, it is essential to implement regular CAPE ratio calculations and integrate long-term macroeconomic forecasts into institutional investment strategies. These measures are intended to facilitate the transformation of domestic savings into stable sources of long-term capital and promote the capitalization growth of the Russian stock market.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>декомпозиция доходности</kwd><kwd>безрисковая ставка</kwd><kwd>рыночные мультипликаторы</kwd><kwd>прогнозирование</kwd><kwd>институциональные инвесторы</kwd><kwd>искусственный интеллект</kwd></kwd-group><kwd-group xml:lang="en"><kwd>return decomposition</kwd><kwd>risk-free rate</kwd><kwd>market multiples</kwd><kwd>forecasting</kwd><kwd>institutional investors</kwd><kwd>artificial intelligence</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена в рамках выполнения научно-исследовательской работы государственного задания РАНХиГС.</funding-statement><funding-statement xml:lang="en">This article has been prepared as part of the RANEPA state research assignment program.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">АбрамовА.Е.,АкшенцеваК.С.,ЧерноваМ.И.,ЛогиноваД.А.,НовиковД.В.,РадыгинА.Д., Сивай Ю. 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