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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2782-4586</issn>
   <issn publication-format="online">2949-1851</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">119803</article-id>
   <article-id pub-id-type="doi">10.26118/2782-4586.2026.99.35.034</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Научные статьи</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>SCIENTIFIC ARTICLES</subject>
    </subj-group>
    <subj-group>
     <subject>Научные статьи</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">International rating agencies and their role in the world financial market: modern trends and challenges</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Международные рейтинговые агентства и их роль на мировом финансовом рынке: современные тенденции и вызовы</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Тарба</surname>
       <given-names>Камила Раждениевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Tarba</surname>
       <given-names>Kamila Razhdenievna</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Финансовый университет при Правительстве Российской Федерации</institution>
    </aff>
    <aff>
     <institution xml:lang="en">Financial University under the Government of the Russian Federation</institution>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2026-04-16T22:17:11+03:00">
    <day>16</day>
    <month>04</month>
    <year>2026</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-04-16T22:17:11+03:00">
    <day>16</day>
    <month>04</month>
    <year>2026</year>
   </pub-date>
   <issue>3</issue>
   <fpage>247</fpage>
   <lpage>253</lpage>
   <history>
    <date date-type="received" iso-8601-date="2026-04-07T00:00:00+03:00">
     <day>07</day>
     <month>04</month>
     <year>2026</year>
    </date>
   </history>
   <self-uri xlink:href="https://jomeam.ru/en/nauka/article/119803/view">https://jomeam.ru/en/nauka/article/119803/view</self-uri>
   <abstract xml:lang="ru">
    <p>Статья посвящена комплексному анализу роли международных рейтинговых агентств в архитектуре современной мировой финансовой системы. Обосновывается их значение как ключевых информационно-аналитических институтов, обеспечивающих оценку кредитных рисков, формирование ожиданий участников рынка и распределение инвестиционных потоков. Выявлены и систематизированы основные направления трансформации деятельности рейтинговых агентств в условиях цифровизации финансовых процессов, усиления регуляторных требований, интеграции ESG-факторов и нарастающей геополитической неопределенности. Проведен сравнительный анализ методологических подходов ведущих мировых агентств, а также оценено их влияние на уровень суверенной кредитоспособности государств, стоимость заимствований и финансовую устойчивость корпоративных эмитентов. Особое внимание уделено модернизации инструментов кредитного анализа на основе технологий искусственного интеллекта, больших данных и методов машинного обучения, способствующих повышению объективности и прогностической точности рейтинговых оценок. Показано возрастание значимости экологических, социальных и управленческих факторов как самостоятельных параметров оценки долгосрочных рисков и устойчивого развития заемщиков. Сделан вывод о расширении функциональной роли рейтинговых агентств и усилении их влияния на инвестиционные и регуляторные решения в глобальной экономике.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The article presents a comprehensive analysis of the role of international credit rating agencies within the architecture of the contemporary global financial system. Their significance is substantiated as key information and analytical institutions that assess credit risks, shape market expectations, and influence the allocation of investment flows. The study identifies and systematizes the principal directions of transformation in rating agencies’ activities under conditions of financial digitalization, increasing regulatory requirements, ESG integration, and growing geopolitical uncertainty. A comparative assessment of methodological approaches employed by leading agencies is conducted, alongside an evaluation of their impact on sovereign creditworthiness, borrowing costs, and the financial stability of corporate issuers. Particular attention is devoted to the modernization of credit assessment tools through the application of artificial intelligence, big data analytics, and machine learning techniques aimed at enhancing objectivity and predictive accuracy. The rising importance of environmental, social, and governance factors as independent determinants of long-term risk and sustainability is also demonstrated. The findings indicate an expansion of the functional role of rating agencies and their increasing influence on investment and regulatory decision-making in the global economy.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>рейтинговые агентства</kwd>
    <kwd>кредитный рейтинг</kwd>
    <kwd>финансовые рынки</kwd>
    <kwd>ESG-факторы</kwd>
    <kwd>искусственный интеллект</kwd>
    <kwd>суверенная кредитоспособность</kwd>
    <kwd>пандемия COVID-19</kwd>
    <kwd>геополитические риски</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>rating agencies</kwd>
    <kwd>credit rating</kwd>
    <kwd>financial markets</kwd>
    <kwd>ESG factors</kwd>
    <kwd>artificial intelligence</kwd>
    <kwd>sovereign creditworthiness</kwd>
    <kwd>COVID-19 pandemic</kwd>
    <kwd>geopolitical risks</kwd>
   </kwd-group>
  </article-meta>
 </front>
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  <p></p>
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</article>
