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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">esp</journal-id><journal-title-group><journal-title xml:lang="ru">Economy: strategy and practice</journal-title><trans-title-group xml:lang="en"><trans-title>Economy: strategy and practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1997-9967</issn><issn pub-type="epub">2663-550X</issn><publisher><publisher-name>Институт экономики</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.51176/1997-9967-2024-2-58-69</article-id><article-id custom-type="elpub" pub-id-type="custom">esp-1287</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>МИРОВАЯ ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>THE GLOBAL ECONOMY</subject></subj-group></article-categories><title-group><article-title>Макроэкономическое воздействие и динамика блокчейна на фондовый рынок</article-title><trans-title-group xml:lang="en"><trans-title>Blockchain Dynamic and Macroeconomic Impact on The Stock Market</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6990-2561</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бенарус</surname><given-names>А. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Benarous</surname><given-names>A. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, кафедра информационных систем управления, факультет информационных систем управления.</p><p>Эсенбога Йерлешкеси Кызылджа, Блок C Думлупинар Махаллеси 7, 06760 Чубук, Анкара</p></bio><bio xml:lang="en"><p>Amer M. Benarous - PhD, Department of Management Information Systems.</p><p>Esenboğa Yerleşkesi Kızılca, 06760 Çubuk, Ankara</p></bio><email xlink:type="simple">225217452@aybu.edu.tr</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0642-7908</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Медени</surname><given-names>И. Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Medeni</surname><given-names>I. T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, профессор, факультет информационных систем управления.</p><p>кампус Эсенбога, Кызылджа, Анкара</p></bio><bio xml:lang="en"><p>Ihsan T.Medeni - PhD, Professor, Department of Management Information Systems.</p><p>Esenboğa Yerleşkesi Kızılca</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2964-3320</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Медени</surname><given-names>Т. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Medeni</surname><given-names>T. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, профессор, Кафедра информационных систем управления, факультет информационных систем управления.</p><p>кампус Эсенбога, Кызылджа, Анкара</p></bio><bio xml:lang="en"><p>Tunç D. Medeni - PhD, Professor, Department of Management Information Systems.</p><p>Esenboğa Yerleşkesi Kızılca</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8855-8556</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Атеш</surname><given-names>В.</given-names></name><name name-style="western" xml:lang="en"><surname>Ateş</surname><given-names>V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, ассоциированный профессор, факультет информационных систем управления.</p><p>Кампус Есенбога Кызылджа, Анкара</p></bio><bio xml:lang="en"><p>Vildan Ateş - PhD, Associate Professor, Department of Management Information Systems.</p><p>Esenboğa Yerleşkesi Kızılca</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Университет Анкары Йылдырым Беязит<country>Турция</country></aff><aff xml:lang="en">Ankara Yıldırım Beyazıt Üniversitesi<country>Turkey</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>30</day><month>06</month><year>2024</year></pub-date><volume>19</volume><issue>2</issue><fpage>58</fpage><lpage>69</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Бенарус А.М., Медени И.Т., Медени Т.Д., Атеш В., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Бенарус А.М., Медени И.Т., Медени Т.Д., Атеш В.</copyright-holder><copyright-holder xml:lang="en">Benarous A.M., Medeni I.T., Medeni T.D., Ateş V.</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://esp.ieconom.kz/jour/article/view/1287">https://esp.ieconom.kz/jour/article/view/1287</self-uri><abstract><p>Данное исследование освещает достижения цифровых финансовых технологий и технологии блокчейн на фондовом рынке. Целью данного исследования является изучение взаимосвязей между технологией блокчейна и макроэкономическими переменными, а также на анализ воздействия этих переменных на производительность фондового рынка. Для этого авторы использовали методы корреляционного и регрессионного анализа, анализируя данные о криптовалютах, фондовом рынке и ключевых бумажных обменных курсах. Исследование подтверждает значительную корреляцию между динамикой блокчейна, в частности, колебаниями цен на криптовалюты, и показателями фондового рынка, что указывает на то, что изменения в классах цифровых активов, таких как биткоин и Эфириум, оказывают ощутимое влияние на традиционные финансовые рынки. Экономические показатели продолжают играть решающую роль в поведении фондового рынка, а такие переменные, как уровень инфляции и рост ВВП, демонстрируют сильную корреляцию с показателями рынка. Результаты свидетельствуют о сложном взаимодействии между технологией блокчейн и макроэкономическими показателями, подчеркивая растущую взаимосвязь между появляющимися цифровыми финансовыми продуктами и экономическими мерами. Кроме того, полученные результаты особенно актуальны для инвесторов, финансовых аналитиков и политиков, подчеркивая необходимость целостного подхода к анализу рынка, который объединяет, как новые технологические достижения в блокчейне, так и экономические показатели. Исследование подчеркивает растущее влияние технологии блокчейн на традиционные фондовые рынки, которое охватывает как новые цифровые активы, так и экономические структуры. В целом, дальнейшие исследования могли бы изучить влияние технологии блокчейн на конкретные секторы фондового рынка, такие как технологии, финансы и потребительские товары.</p></abstract><trans-abstract xml:lang="en"><p>This study sheds light on the achievements of digital financial technologies and blockchain technology in the stock market. This study aims to examine the relationship between blockchain technology and macroeconomic variables, as well as the impact these variables have on stock market performance. For this, authors used the methodology of correlation and regression analysis, analyzing data on cryptocurrencies, the stock market and key paper exchange rates. The study confirms a significant correlation between blockchain dynamics, particularly cryptocurrency price fluctuations, and stock market performance, indicating that movements in digital asset classes such as Bitcoin and Ethereum have measurable impacts on traditional financial markets. Traditional economic indicators continue to play a crucial role in stock market behavior, with variables like inflation rates and GDP growth showing strong correlations with market performance. The results suggest a complex interplay between blockchain technology and macroeconomic indicators, emphasizing a growing interconnectedness between emerging digital financial products and economic measures. In addition, the findings are particularly relevant for investors, financial analysts, and policymakers, highlighting the need for a holistic market analysis approach that integrates both new technological advancements in blockchain and economic indicators. The study underscores the evolving influence of blockchain technology on traditional stock markets that encompass both new digital assets and economic frameworks. Moreover, further studies could explore the impact of blockchain technology on specific sectors within the stock market, such as technology, finance, and consumer goods.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>динамика блокчейна</kwd><kwd>криптовалюта</kwd><kwd>макроэкономические показатели</kwd><kwd>показатели фондового рынка</kwd><kwd>финансовый анализ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Blockchain Dynamics</kwd><kwd>Cryptocurrency</kwd><kwd>Macroeconomic Indicators</kwd><kwd>Stock Market Performance</kwd><kwd>Financial Analysis</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">Arkes, J. (2023). Regression analysis: a practical introduction. London, Routledge. https://doi.org/10.4324/9781003285007</mixed-citation><mixed-citation xml:lang="en">Arkes, J. (2023). Regression analysis: a practical introduction. 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