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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">finance</journal-id><journal-title-group><journal-title xml:lang="ru">Финансы: теория и практика/Finance: Theory and Practice</journal-title><trans-title-group xml:lang="en"><trans-title>Finance: Theory and Practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-5671</issn><issn pub-type="epub">2587-7089</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2587-5671-2025-29-5-200-213</article-id><article-id custom-type="elpub" pub-id-type="custom">finance-3961</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>ФИНАНСОВЫЕ РИСКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FINANCIAL RISKS</subject></subj-group></article-categories><title-group><article-title>О регулировании рисков российского рынка краудлендинга</article-title><trans-title-group xml:lang="en"><trans-title>On Managing the Risks of the Russian Crowdlending 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/0000-0002-2561-6165</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Евлахова</surname><given-names>Ю. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Evlakhova</surname><given-names>Yu. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Юлия Сергеевна Евлахова — доктор экономических наук, профессор, заведующая кафе­дрой финансового мониторинга и финансовых рынков</p><p>Ростов-на-Дону</p></bio><bio xml:lang="en"><p>Yulia S. Evlakhova — Dr. Sci. (Econ.), Prof., Head of the Financial Monitoring and Financial Markets Department</p><p>Rostov-on-Don</p></bio><email xlink:type="simple">evlahova@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Ростовский государственный экономический университет (РИНХ)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Rostov State University of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>26</day><month>10</month><year>2025</year></pub-date><volume>29</volume><issue>5</issue><fpage>200</fpage><lpage>213</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Евлахова Ю.С., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Евлахова Ю.С.</copyright-holder><copyright-holder xml:lang="en">Evlakhova Y.S.</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://financetp.fa.ru/jour/article/view/3961">https://financetp.fa.ru/jour/article/view/3961</self-uri><abstract><sec><title>За 2021-2023 гг</title><p>За 2021-2023 гг. объемы инвестиций, привлеченных на рынке краудлендинга, показали более чем трехкратный рост, но в два раза выросли соответствующие объемы неисполненных обязательств. Мировой и российский опыт подтверждают, что рынок краудлендинга имеет большие перспективы, которые, однако, зависят от эффективного управления рисками.</p></sec><sec><title>Цель исследования</title><p>Цель исследования: предложить меры по регулированию рисков российского рынка краудлендинга. Гипотеза исследования: по механизму функционирования рынок краудлендинга схож с биржевым рынком корпоративных облигаций, что позволяет предположить возможность адаптации отдельных механизмов регулиро­вания рынка корпоративных облигаций к рынку краудлендинга. Научная новизна исследования: впервые прове­ден анализ российского рынка краудлендинга по уровню кредитного риска; сравнение механизмов регулирования биржевого рынка корпоративных облигаций и рынка краудлендинга является оригинальным; предложены новые меры регулирования рисков российского рынка краудлендинга.</p></sec><sec><title>Методы исследования</title><p>Методы исследования: группировка, FOREL класте­ризация, сравнительный анализ.</p></sec><sec><title>Основные результаты</title><p>Основные результаты: 1) на российском рынке краудлендинга ежегодно наблюда­лись 2 группы участников: с нулевым и умеренным риском, группы с высоким кредитным риском присутствовали эпизодически. При использовании FOREL кластеризации выявлено, что группа операторов инвестиционных плат­форм с нулевым и умеренным кредитным риском является неоднородной; 2) выделены общие черты и различия в регулировании биржевого рынка корпоративных облигаций и рынка краудлендинга; 3) предложены меры регули­рования рисков на рынке краудлендинга (ежеквартальное предоставление отчета оператора платформы о размере доли неисполненных обязательств в общем объеме привлеченных инвестиций с установлением рекомендуемого порогового значения такого показателя; введение в число участников инвестиционной платформы представителя заемщиков для защиты их прав и интересов; включение порядка работы с просроченной задолженностью в пра­вила инвестиционной платформы).</p></sec></abstract><trans-abstract xml:lang="en"><p>In 2021-2023, the volume of investments in the crowd-lending market showed more than threefold growth, but the corresponding volume of unfulfilled obligations doubled. Global and Russian experience confirm that the crowd-lending market has great potential, which depends on effective risk management. The purpose of the study is to propose measures to regulate the risks of the Russian crowd-funding market. Research hypothesis: the mechanism of operation of the crowd-lending market is similar to the exchange-traded corporate bond market, which suggests the possibility of adapting individual regulatory mechanisms of the corporate bond market to the crowd-lending market. The scientific novelty of this research lies in the fact that it is the first time an analysis of the Russian crowd-lending market by level of credit risk has been conducted. The comparison of the regulatory mechanisms of the exchange-traded corporate bond market and the crowd-lending market is also original. Furthermore, new measures for managing the risks associated with the Russian crowd-lending market have been proposed. Research methods: grouping, FOREL clustering, comparative analysis. Main results: 1) in the Russian crowd-lending market, 2 groups of participants were observed annually: with zero and moderate risk, groups with high credit risk were present sporadically. When using FOREL clustering, it was revealed that the group of investment platform operators with zero and moderate credit risk is heterogeneous; 2) the common features and differences between the regulation of the exchange-traded corporate bond market and the crowd-lending market are discussed; 3) risk management measures in the crowd-lending market are proposed (quarterly reporting by the platform operator on the share of outstanding obligations in the total volume attracted investments with the establishment of a recommended threshold value for such an indicator; the introduction of a representative of borrowers among the participants of the investment platform to protect their rights and interests; the inclusion of the procedure for dealing with overdue debts in the rules of the investment platform).</p></trans-abstract><kwd-group xml:lang="ru"><kwd>оператор инвестиционной платформы</kwd><kwd>P2P-кредитование</kwd><kwd>займ</kwd><kwd>биржевой рынок корпоративных облигаций</kwd><kwd>кластеризация</kwd><kwd>просроченная задолженность</kwd></kwd-group><kwd-group xml:lang="en"><kwd>investment platform operator</kwd><kwd>P2P-lending</kwd><kwd>loan</kwd><kwd>corporate bonds exchange market</kwd><kwd>clustering</kwd><kwd>overdue debt</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда № 23-28-00590, https://rscf.ru/ project/23-28-00590/</funding-statement><funding-statement xml:lang="en">The research was carried out at the expense of the Russian Science Foundation, project No. 23-28-00590, https://rscf.ru/project/23-28-00590/</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">Голикова А. 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