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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Digital Economy &amp; Innovations</journal-id><journal-title-group><journal-title xml:lang="en">Digital Economy &amp; Innovations</journal-title><trans-title-group xml:lang="ru"><trans-title>Цифровая экономика и инновации</trans-title></trans-title-group></journal-title-group><issn publication-format="print">3034-2074</issn><issn publication-format="electronic">3034-4204</issn><publisher><publisher-name xml:lang="en">Togliatti State University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">857</article-id><article-id pub-id-type="doi">10.18323/3034-2074-2025-1-60-2</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">G-curve inversion as a precursor of a financial crisis</article-title><trans-title-group xml:lang="ru"><trans-title>Инверсия G-кривой как предвестник финансового кризиса</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0887-5907</contrib-id><name-alternatives><name xml:lang="en"><surname>Zhironkin</surname><given-names>Sergey Aleksandrovich</given-names></name><name xml:lang="ru"><surname>Жиронкин</surname><given-names>Сергей Александрович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Doctor of Sciences (Economics), Professor, professor of Chair of Commerce and Marketing</p></bio><bio xml:lang="ru"><p>доктор экономических наук, профессор, профессор кафедры торгового дела и маркетинга</p></bio><email>zhironkin@inbox.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1876-8144</contrib-id><name-alternatives><name xml:lang="en"><surname>Konovalova</surname><given-names>Mariya Evgenyevna</given-names></name><name xml:lang="ru"><surname>Коновалова</surname><given-names>Мария Eвгеньевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Doctor of Sciences (Economics), Professor, Director of the Institute of National and Global Economy</p></bio><bio xml:lang="ru"><p>доктор экономических наук, профессор, директор института национальной и мировой экономики</p></bio><email>mkonoval@mail.ru</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4460-0468</contrib-id><name-alternatives><name xml:lang="en"><surname>Kuzmina</surname><given-names>Olga Yuryevna</given-names></name><name xml:lang="ru"><surname>Кузьмина</surname><given-names>Ольга Юрьевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>PhD (Economics), Associate Professor, assistant professor of Chair of Theoretical Economics</p></bio><bio xml:lang="ru"><p>кандидат экономических наук, доцент, доцент кафедры экономической теории</p></bio><email>pisakina83@yandex.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Siberian Federal University</institution></aff><aff><institution xml:lang="ru">Сибирский федеральный университет</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Samara State University of Economics</institution></aff><aff><institution xml:lang="ru">Самарский государственный экономический университет</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-03-31" publication-format="electronic"><day>31</day><month>03</month><year>2025</year></pub-date><issue>1</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>18</fpage><lpage>26</lpage><history><date date-type="received" iso-8601-date="2025-03-31"><day>31</day><month>03</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2025-03-31"><day>31</day><month>03</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Zhironkin S.A., Konovalova M.E., Kuzmina O.Y.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Жиронкин С.А., Коновалова М.E., Кузьмина О.Ю.</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Zhironkin S.A., Konovalova M.E., Kuzmina O.Y.</copyright-holder><copyright-holder xml:lang="ru">Жиронкин С.А., Коновалова М.E., Кузьмина О.Ю.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://vektornaukieconomika.ru/jour/article/view/857">https://vektornaukieconomika.ru/jour/article/view/857</self-uri><abstract xml:lang="en"><p>Currently applicable techniques for identifying financial crises are very diverse and, as a rule, relate to two main approaches: econometric and signaling. The indicators of these techniques show high efficiency directly at the start of a crisis, which necessitates the use of complementary indicators that can identify a crisis long before it occurs. The assessment of the effectiveness of using the <italic>G</italic>-curve as a precursor of a financial crisis is indicated in the paper as the key problem, which will allow taking anti-crisis government regulation measures in advance. The authors of the paper analyzed the macroeconomic parameters of the development of the Russian economy in order to identify the prerequisites for the crisis emergence. It was found that the current indicators of economic development do not allow concluding that a crisis is approaching; official forecasting institutions that use signaling and econometric assessment techniques in their activities do not confirm this fact. Nevertheless, the conducted analysis of the yield curve configuration indicates the formation of negative conditions for the emergence of an economic recession. The authors have proved the role of the <italic>G</italic>-curve in assessing the behavioral patterns of market participants, which often become the basis for the imbalance of financial relations. The paper substantiates the necessity to use a systemic approach in the process of identifying financial crises, taking into account both the short-term forecasting capabilities of econometric and signaling techniques and long-term assessing investment sentiment, which will ensure the timeliness and comprehensiveness of the anti-crisis state regulation measures. </p></abstract><trans-abstract xml:lang="ru"><p>Применимые в настоящее время методики идентификации финансовых кризисов весьма разнообразны и, как правило, относятся к двум основным подходам: эконометрическому и сигнальному. Индикаторы данных методик показывают высокую эффективность непосредственно в период начала кризиса, что вызывает необходимость использования комплементарных показателей, которые способны идентифицировать кризис задолго до его возникновения. Ключевой проблемой в статье обозначена оценка эффективности применения <italic>G</italic>-кривой как предвестника финансового кризиса, что позволит заблаговременно принять меры антикризисного государственного регулирования. Авторами статьи проведен анализ макроэкономических параметров развития российской экономики с целью выявления предпосылок возникновения кризиса. Установлено, что текущие показатели экономического развития не позволяют сделать вывод о приближении кризисной ситуации, не подтверждают этот факт и официальные институты прогнозирования, использующие в своей деятельности сигнальные и эконометрические методики оценки. Тем не менее проведенный анализ конфигурации кривой доходности облигаций свидетельствует о формировании негативных условий возникновения экономической рецессии. Авторами доказана роль <italic>G</italic>-кривой в оценке поведенческих паттернов участников рынка, которые часто становятся основой разбалансировки финансовых отношений. В статье обоснована необходимость использования в процессе идентификации финансовых кризисов системного подхода, учитывающего не только краткосрочные прогнозные возможности эконометрических и сигнальных методов, но и оценивающего инвестиционные настроения в долгосрочной перспективе, что обеспечит своевременность и всесторонность предпринимаемых антикризисных мер государственного регулирования.</p></trans-abstract><kwd-group xml:lang="en"><kwd>financial crisis</kwd><kwd>econometric approach</kwd><kwd>signaling approach</kwd><kwd>identification technique</kwd><kwd>forecasting</kwd><kwd>G-curve</kwd><kwd>yield curve</kwd><kwd>investment expectations</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>финансовый кризис</kwd><kwd>эконометрический подход</kwd><kwd>сигнальный подход</kwd><kwd>методика идентификации</kwd><kwd>построение прогнозов</kwd><kwd>G-кривая</kwd><kwd>кривая доходности облигаций</kwd><kwd>инвестиционные ожидания</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Chen Ting-Hsun, Lee Chien-Chiang, Shen Chung-Hua. 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