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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">sseu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Самарского государственного экономического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik of Samara State University of Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1993-0453</issn><publisher><publisher-name>Самарский государственный экономический университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">sseu-286</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>РЕГИОНАЛЬНАЯ И ОТРАСЛЕВАЯ ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REGIONAL AND SECTORAL ECONOMY</subject></subj-group></article-categories><title-group><article-title>Прогнозирование производства стали и мирового торгового баланса руды и металлов с использованием метода ARIMA</article-title><trans-title-group xml:lang="en"><trans-title>Forecasting steel production and world trade balance of ores and metals using the ARIMA method</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>Савенков</surname><given-names>Л. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Savenkov</surname><given-names>L. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Леонид Дмитриевич Савенков – кандидат экономических наук, доцент </p><p>Тольятти</p></bio><bio xml:lang="en"><p>Leonid D. Savenkov – PhD in Economics, Associate Professor</p><p>Togliatti</p></bio><email xlink:type="simple">leonidsavenkov89@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Институт финансов, экономики и управления Тольяттинского государственного университета<country>Россия</country></aff><aff xml:lang="en">Institute of Finance, Economics and Management of Togliatti State University<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>07</day><month>12</month><year>2025</year></pub-date><volume>0</volume><issue>7</issue><fpage>37</fpage><lpage>43</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Савенков Л.Д., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Савенков Л.Д.</copyright-holder><copyright-holder xml:lang="en">Savenkov L.D.</copyright-holder><license 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://vestnik.sseu.ru/jour/article/view/286">https://vestnik.sseu.ru/jour/article/view/286</self-uri><abstract><p>Сталь – один из самых важных сырьевых материалов, используемых практически во всех сферах нашей жизни, прямо или косвенно влияющих на промышленность и экономику страны. В данной статье рассматривается прогнозирование мирового производства стали, экспорта и импорта руды и металлов как всех стран мира, так и России в отдельности с использованием метода ARIMA (Autoregressive Integrated Moving Average) на основе данных за период с 2000 по 2020 г. Метод ARIMA применяется для моделирования временных рядов, учитывая автокорреляцию, тренды и сезонность данных. Прогнозы, полученные с использованием данного метода, предоставляют ценные результаты для принятия стратегических решений в металлургической промышленности и глобальной торговле. Прогноз производства стали на 15 лет вперед показывает значительный рост производства. Мировой показатель экспорта руды и металлов, отражающий зависимость экспорта от добычи руды и металлов и специализацию экономик в этой сфере, показывает прогнозируемый рост почти в 2 раза по сравнению с данными 2020 г. Мировой показатель импорта руды и металлов демонстрирует рост импорта в течение ближайших 15 лет. Для России также проведен анализ, показывающий снижение доли импорта руды и металлов в общем объеме товаров и сохранение доли экспорта на текущем уровне.</p></abstract><trans-abstract xml:lang="en"><p>Steel is one of the most important raw materials used in almost all spheres of our life, directly or indirectly affecting the industry and economy of the country. This article investigates the forecasting of global steel production, exports and imports of ore and metals of all countries of the world and Russia separately using the ARIMA (Autoregressive Integrated Moving Average) method based on data for the period from 2000 to 2020. The ARIMA method is used for time series modeling, taking into account autocorrelation, trends and seasonality of data. Forecasts obtained using this method provide valuable results for strategic decision making in the steel industry and global trade. The forecast for 15 years ahead shows a significant increase in the steel production. World ore and metal exports, reflecting the dependence of exports on ore and metal production and the specialization of economies in this area, are projected to grow by almost twice as much as in 2020. The global ore and metal imports indicator shows import growth over the next 15 years. For Russia, the analysis also shows a decrease in the share of imports of ore and metals in the total volume of goods and preservation of the share of exports at the current level.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ARIMA</kwd><kwd>прогнозирование временных рядов</kwd><kwd>производство стали</kwd><kwd>мировая торговля</kwd><kwd>руда и металлы</kwd><kwd>экспорт</kwd><kwd>импорт</kwd><kwd>металлургическая промышленность</kwd><kwd>Россия</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ARIMA</kwd><kwd>time series forecasting</kwd><kwd>steel production</kwd><kwd>world trade</kwd><kwd>ore and metals</kwd><kwd>exports</kwd><kwd>imports</kwd><kwd>metallurgical industry</kwd><kwd>Russia</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">Pourmehdi M., Paydar M.M., Asadi-Gangraj E. 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