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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Scientific Research and Development. Russian Journal of Project Management</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Scientific Research and Development. Russian Journal of Project Management</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Научные исследования и разработки. Российский журнал управления проектами</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">2587-6279</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">84551</article-id>
   <article-id pub-id-type="doi">10.12737/2587-6279-2024-13-4-40-50</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Финансы</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>FINANCE</subject>
    </subj-group>
    <subj-group>
     <subject>Финансы</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Study of the Impact of News Information about Investments and Projects on Stock Market Reaction Parameters (on the Example of the “Metals and Mining” Segment of the Moscow Exchange)</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Исследование влияния новостной информации об инвестициях и проектах на параметры реакции фондового рынка (на примере сегмента «Металлы и добыча» Московской биржи)</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Карманов</surname>
       <given-names>И. Н.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Karmanov</surname>
       <given-names>Ivan Nikolaevich</given-names>
      </name>
     </name-alternatives>
     <email>ivan42500@mail.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Национальный исследовательский университет «Высшая школа экономики»</institution>
    </aff>
    <aff>
     <institution xml:lang="en">National Research University Higher School of Economics</institution>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2024-12-11T00:09:23+03:00">
    <day>11</day>
    <month>12</month>
    <year>2024</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-12-11T00:09:23+03:00">
    <day>11</day>
    <month>12</month>
    <year>2024</year>
   </pub-date>
   <volume>13</volume>
   <issue>4</issue>
   <fpage>40</fpage>
   <lpage>50</lpage>
   <history>
    <date date-type="received" iso-8601-date="2024-06-25T00:00:00+03:00">
     <day>25</day>
     <month>06</month>
     <year>2024</year>
    </date>
    <date date-type="accepted" iso-8601-date="2024-10-03T00:00:00+03:00">
     <day>03</day>
     <month>10</month>
     <year>2024</year>
    </date>
   </history>
   <self-uri xlink:href="https://zh-szf.ru/en/nauka/article/84551/view">https://zh-szf.ru/en/nauka/article/84551/view</self-uri>
   <abstract xml:lang="ru">
    <p>В данном исследовании изучается реакция российского фондового рынка на публикацию новостей о компаниях в сегменте «Металлы и добыча» Московской биржи. В статье приводится описание методологии сбора и анализа базы данных новостных сообщений. Для регистрации абнормальных доходностей, относящихся к публикациям новостей, разрабатывается модифицированный метод CAR (Cumulative Abnormal Return). Поиск таких параметров реакции, как начало, окончание, длительность и доходность новости, производится с помощью созданных алгоритмов поиска начала и окончания реакции, основанных на модифицированном методе CAR и методе NAV (Normalized Abnormal Volume). В исследовании приводятся рассчитанные параметры начала, окончания, длительности реакции и CAR c разделением на оценки по ценам акций и по объёмам торгов. Далее проводится сопоставление полученных результатов для каждого метода, обсуждается обоснование различия в оценках параметров и применение результатов для улучшения IR – менеджмента компаний.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>This study examines the reaction of the Russian stock market to the publication of news about companies in the metals and mining segment of the Moscow stock exchange. The article describes the methodology used to collect and analyze a database of news reports, including a modified cumulative abnormal return (CAR) method to register abnormal returns related to news publications. The study also explores the search for parameters such as the beginning, end, duration, and profitability of news using algorithms based on the CAR and normalized abnormal volume (NAV) methods. The results of this analysis are presented in the form of calculated parameters for the beginning, end, duration of the reaction, and CAR, categorized by stock prices and trading volumes.Next, the results obtained from each method are compared. The rationale for the differences in parameter estimates is discussed, as well as the application of these results to improve IR management in companies.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>Фондовый рынок</kwd>
    <kwd>Металлы и добыча</kwd>
    <kwd>реакция рынка</kwd>
    <kwd>IR – менеджмент</kwd>
    <kwd>CAR</kwd>
    <kwd>NAV</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Stock market</kwd>
    <kwd>Metals and mining</kwd>
    <kwd>market reaction</kwd>
    <kwd>IR management</kwd>
    <kwd>CAR</kwd>
    <kwd>NAV</kwd>
   </kwd-group>
  </article-meta>
 </front>
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