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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">rusjel</journal-id><journal-title-group><journal-title xml:lang="ru">Russian Journal of Economics and Law</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Economics and Law</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2782-2923</issn><publisher><publisher-name>"TCE "Taglimat"" Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21202/2782-2923.2023.2.307-326</article-id><article-id custom-type="edn" pub-id-type="custom">OBQMGW</article-id><article-id custom-type="elpub" pub-id-type="custom">rusjel-2410</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>КРИПТОМИР И ЦИФРОВЫЕ ФИНАНСЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>CRYPTO-WORLD AND DIGITAL FINANCE</subject></subj-group></article-categories><title-group><article-title>Межотраслевые  эффекты заражения в российской экономике  под влиянием пандемического шока</article-title><trans-title-group xml:lang="en"><trans-title>Intersectoral  contagion effects in the Russian economy  under the pandemic shock</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3152-3934</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Малкина</surname><given-names>М. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Malkina</surname><given-names>M. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Малкина Марина Юрьевна, доктор экономических наук, профессор, главный научный сотрудник Центра макро- и микроэкономики</p><p>Web of Science Researcher ID: http://www.researcherid.com/rid/M-2681-2017, AuthorID: 375698</p><p>г. Нижний Новгород</p></bio><bio xml:lang="en"><p>Marina Yu. Malkina, Doctor of Economics, Professor, Chief Researcher, Center for Macro- and Microeconomics</p><p>Web of Science Researcher ID: http://www.researcherid.com/rid/M-2681-2017, AuthorID: 375698</p><p>Nizhni Novgorod</p></bio><email xlink:type="simple">mmuri@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0494-9702</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Балакин</surname><given-names>Р. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Balakin</surname><given-names>R. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Родион Владимирович Балакин, кандидат экономических наук, старший научный сотрудник Центра налоговой политики; Центра макро- и микроэкономики</p><p>Web of Science Researcher ID: http://www.researcherid.com/rid/P-9715-2018, AuthorID: 719724</p><p>г. Нижний Новгород</p><p>г. Москва</p></bio><bio xml:lang="en"><p>Rodion V. Balakin, Candidate of Sciences in Economics, Senior Researcher, Center for Taxation Policy; Center for Macro- and Microeconomics</p><p>Web of Science Researcher ID: http://www.researcherid.com/rid/P-9715-2018, AuthorID: 719724</p><p>Nizhni Novgorod</p><p>Moscow</p></bio><email xlink:type="simple">rodion-balakin@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Национальный исследовательский Нижегородский государственный университет имени Н. И. Лобачевского</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Lobachevsky State University of Nizhni Novgorod</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Национальный исследовательский Нижегородский государственный университет имени Н. И. Лобачевского;	Научно-исследовательский финансовый институт Министерства финансов России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Lobachevsky State University of Nizhni Novgorod; Financial Research Institute of the Ministry of Finance of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>16</day><month>06</month><year>2023</year></pub-date><volume>17</volume><issue>2</issue><fpage>307</fpage><lpage>326</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Малкина М.Ю., Балакин Р.В., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Малкина М.Ю., Балакин Р.В.</copyright-holder><copyright-holder xml:lang="en">Malkina M.Y., Balakin R.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://www.rusjel.ru/jour/article/view/2410">https://www.rusjel.ru/jour/article/view/2410</self-uri><abstract><sec><title>Цель</title><p>Цель: идентификация наличия/отсутствия передачи финансового заражения между отраслями российской экономики в период пандемии 2020–2021 гг.</p></sec><sec><title>Методы</title><p>Методы: исследование основано на данных о межсессионной среднедневной доходности шести отраслевых индексов Российской торговой системы за период с 01.01.2019 по 23.02.2022. С помощью расчета скользящего коэффициента вариации для среднеотраслевого индекса Российской торговой системы и скользящего темпа прироста заражения </p><p>коронавирусной инфекцией выделены три периода пандемического шока: краткосрочный (острая фаза пандемии), среднесрочный (охватывающий первую и вторую волны заражения) и долгосрочный (вплоть до объявления Россией СВО на Украине). Межотраслевое заражение идентифицировалось на основе усиления взаимосвязей между доходностью отраслевых активов с помощью анализа трех моментов распределения: скорректированного на гетероскедастичность коэффициента корреляции (теста Форбс – Ригобона), тестов на коасимметрию и кокуртозис распределения.</p></sec><sec><title>Результаты</title><p>Результаты: получены оценки масштабов и направленности финансового заражения между отраслями российской экономики в период пандемии. Во-первых, они свидетельствуют об увеличении подтвержденных случаев межотраслевого заражения в среднесрочном и долгосрочном периодах, что говорит о «долгосрочном следе» пандемии. Во-вторых, количество заражений растет по мере перехода к более высоким моментам распределения. В-третьих, главные отрасли российской экономики (металлургия и нефтяная отрасль), вопреки ожиданиям, оказались в наименьшей степени связанными с другими отраслями российской экономики в период пандемии. Телекоммуникационная сфера продемонстрировала наибольшую склонность к передаче заражения. Вполне ожидаемым является вывод о наибольшей подверженности заражению потребительской сферы и торговли.</p></sec><sec><title>Научная новизна</title><p>Научная новизна: впервые для российской экономики получены оценки межотраслевого финансового заражения в период пандемии, которые свидетельствуют о наличии как краткосрочных, так и долгосрочных эффектов пандемии, а также об усилении роли ряда отраслей (в частности, телекоммуникационной отрасли) в передаче заражения в период цифровизации экономики.</p></sec><sec><title>Практическая значимость</title><p>Практическая значимость: полученные данные могут быть полезными при управлении финансовой стабильностью отдельных отраслей в период кризисов пандемического типа.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Objective</title><p>Objective: to identify the presence/absence of transmission of financial contagion between sectors of the Russian economy during the 2020-2021 pandemic.</p></sec><sec><title>Methods</title><p>Methods: the study is based on data on the inter-sessional average daily profitability of six industry indices of the Russian trading system for the period from 01.01.2019 to 23.02.2022. Using the calculation of the sliding coefficient of variation for the average industry index of the Russian trading system and the sliding growth rate of coronavirus infection, three periods of pandemic shock were identified: short-term (acute phase of the pandemic), medium-term (covering the first and second waves of infection), and long-term (up to the announcement of the Russian special military operation in Ukraine). Intersectoral contamination was identified on the basis of strengthening the relationships between the profitability of industry assets by analyzing three distribution points: the correlation coefficient adjusted for heteroscedasticity (Forbes–Rigobon test), tests for co-asymmetry and co-kurtosis of the distribution.</p></sec><sec><title>Results</title><p>Results: estimates of the scale and direction of financial contagion between the Russian economic sectors during the pandemic were obtained. Firstly, they indicate an increase in confirmed cases of intersectoral contagion in the medium and long term, which indicates a “long-term trace” of the pandemic. Secondly, the number of contagions increases closer to higher distribution points. Thirdly, the main branches of the Russian economy (metallurgy and oil industry), contrary to expectations, turned out to be the least connected with other branches of the Russian economy during the pandemic. The telecommunications sector demonstrated the greatest propensity to transmit contagion. The conclusion about the consumer sphere and trade being the most exposed to contagion is rather expected.</p></sec><sec><title>Scientific novelty</title><p>Scientific novelty: for the first time, estimates of intersectoral financial contagion for the Russian economy during the pandemic have been obtained, which indicate the presence of both short-term and long-term effects of the pandemic, as well as the strengthened role of certain industries (in particular, the telecommunications industry) in the transmission of contagion under the economy digitalization.</p></sec><sec><title>Practical significance</title><p>Practical significance: the data obtained can be useful in managing the financial stability of individual industries during pandemic-type crises.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>криптомир и цифровые финансы</kwd><kwd>финансовое заражение</kwd><kwd>каналы передачи заражения финансовых рынков</kwd><kwd>отрасли российской экономики</kwd><kwd>пандемия COVID-19</kwd><kwd>взаимодействие</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Crypto-World and digital finance</kwd><kwd>Financial contagion</kwd><kwd>Transmission channels of financial markets contagion</kwd><kwd>Branches of the Russian economy</kwd><kwd>COVID-19 pandemic</kwd><kwd>Interaction</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Финансирование: исследование выполнено за счет гранта Российского научного фонда № 23-28-00453, https://rscf. ru/project/23-28-00453/</funding-statement><funding-statement xml:lang="en">The research was performed with the grant of the Russian Science Foundation No. 23-28-00453, https:// rscf.ru/project/23-28-00453/</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Gavin, M., &amp; Hausmann, R. 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