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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">woeam</journal-id><journal-title-group><journal-title xml:lang="ru">Мир экономики и управления</journal-title><trans-title-group xml:lang="en"><trans-title>World of Economics and Management</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2542-0429</issn><issn pub-type="epub">2658-5375</issn><publisher><publisher-name>Новосибирский национальный исследовательский государственный университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.25205/2542-0429-2018-18-4-18-26</article-id><article-id custom-type="elpub" pub-id-type="custom">woeam-46</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>МАКРОЭКОНОМИЧЕСКИЙ АНАЛИЗ: МЕТОДЫ И РЕЗУЛЬТАТЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MACROECONOMIC ANALYSIS: METHODS AND RESULTS</subject></subj-group></article-categories><title-group><article-title>Влияние новостных шоков макроэкономической статистики США на фондовые рынки США и России</article-title><trans-title-group xml:lang="en"><trans-title>The Impact of USA Macroeconomic News Shocks on USA and Russian Stock Market</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сергеев</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Sergeev</surname><given-names>V. A.</given-names></name></name-alternatives><email xlink:type="simple">s.vladislav-92@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российский экономический университет имени Г. В. Плеханова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Plekhanov Russian University of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>26</day><month>10</month><year>2020</year></pub-date><volume>18</volume><issue>4</issue><fpage>18</fpage><lpage>26</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Сергеев В.А., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Сергеев В.А.</copyright-holder><copyright-holder xml:lang="en">Sergeev V.A.</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://woeam.elpub.ru/jour/article/view/46">https://woeam.elpub.ru/jour/article/view/46</self-uri><abstract><p>Новости влияют на рынок, однако их воздействие нередко бывает противоречивым. Реакция рынка зависит от множества факторов: хорошая или плохая новость, текущее состояние рынка (рост, снижение, «боковик»), предыдущие прогнозы и т. д. Более того, одна и та же новость может оказаться и хорошей, и плохой в зависимости от ситуации. Это можно увидеть на примере реакции рынка на данные по занятости вначале 2010-х. В статье исследуется взаимосвязь между доходностями фондовых индексов России и США и новостными шоками статистики США. С помощью эконометрического инструментария выявлены показатели статистики США, изменение которых оказывает наибольшее влияние на движение фондовых индексов в этих странах. При этом выявлено, что к использованию в торговой стратегии пригодны связи изменений показателей статистики США и индексов RTS и S&amp;P500. Реакция рынков на шок статистики с течением времени меняется, так как имеет место человеческий фактор. Результаты тестирования модели на исторических данных периода 2011-2017 гг. подтвердили данный факт. Также наблюдалась асимметричность реакции рынка: в периоды снижений он сильнее реагирует на позитивный шок, а в периоды роста - на негативный.</p></abstract><trans-abstract xml:lang="en"><p>News is sure to affect market trends, but their impact is often contradictory. Market reaction depends on many factors: good or bad news, current market condition (growth, crisis or flat), previous forecasts, etc. However, the same news can be both good and bad, e.g. market response to NFP data in the early 2010s. This article explores the relationship between the yields on both the Russian and the US stock indexes and shocks of the US statistics. The application of econometric tools has made it possible to identify the US statistical indicators which have the greatest impact on the movement of stock indices in these countries. At the same time, the study shows that the links between the changes in the US statistics, RTS and S&amp;P500 indices seem to be rather useful for the de- velopment and implementation of trading strategies. The results of testing the model in the period 2011-2017 have proved that the market reaction to news shocks tends to change over time due to the human element. Besides, an asymmetry in reaction was revealed: during the periods of declines it is more sensitive to positive shocks, whereas in the periods of growth - to negative shocks.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>фондовый индекс</kwd><kwd>доходность</kwd><kwd>гипотеза эффективного рынка</kwd><kwd>шокстатистики</kwd></kwd-group><kwd-group xml:lang="en"><kwd>stock index</kwd><kwd>return</kwd><kwd>effective market hypothesis</kwd><kwd>shock of statistics</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Hardouvelis G. A. Macroeconomic information and stock prices. Journal of Economics and Business, 1987, vol. 39, no. 2, p. 131-140.</mixed-citation><mixed-citation xml:lang="en">Hardouvelis G. A. Macroeconomic information and stock prices. 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