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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">Economics and Mathematical Methods</journal-id><journal-title-group><journal-title xml:lang="en">Economics and Mathematical Methods</journal-title><trans-title-group xml:lang="ru"><trans-title>Экономика и математические методы</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0424-7388</issn><issn publication-format="electronic">3034-6177</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">653355</article-id><article-id pub-id-type="doi">10.31857/S042473880024877-3</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">Empirical analysis of risks’ influence on the large mergers and acquisitions projects’ success in modern companies</article-title><trans-title-group xml:lang="ru"><trans-title>Эмпирический анализ степени влияния рисков на успешность крупных проектов слияний и поглощений в современных компаниях</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Gracheva</surname><given-names>Marina V</given-names></name><name xml:lang="ru"><surname>Грачева</surname><given-names>Марина Владимировна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Sc.Doctor (Economics)</p>
<p>Professor</p></bio><bio xml:lang="ru"><p>д.э.н.</p>
<p>профессор</p></bio><email>emm@cemi.rssi.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Utemova</surname><given-names>Natalia O.</given-names></name><name xml:lang="ru"><surname>Утемова</surname><given-names>Наталья Олеговна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Magister of Management</p></bio><bio xml:lang="ru"><p>магистр менеджмента</p></bio><email>emm@cemi.rssi.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Economics Faculty, Lomonosov Moscow State University</institution></aff><aff><institution xml:lang="ru">Экономический факультет МГУ имени М.В. Ломоносова</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-03-15" publication-format="electronic"><day>15</day><month>03</month><year>2023</year></pub-date><volume>59</volume><issue>1</issue><issue-title xml:lang="en">VOL 59, NO1 (2023)</issue-title><issue-title xml:lang="ru">ТОМ 59, №1 (2023)</issue-title><fpage>79</fpage><lpage>92</lpage><history><date date-type="received" iso-8601-date="2025-02-03"><day>03</day><month>02</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2023, Ekonomika i matematicheskie metody</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2023, Экономика и математические методы</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Ekonomika i matematicheskie metody</copyright-holder><copyright-holder xml:lang="ru">Экономика и математические методы</copyright-holder></permissions><self-uri xlink:href="https://journals.eco-vector.com/0424-7388/article/view/653355">https://journals.eco-vector.com/0424-7388/article/view/653355</self-uri><abstract xml:lang="en"><p>Mergers and acquisitions (M&amp;A) are among the key strategies for stabilizing and strengthening a company's market position in an unstable economic environment and gaining a competitive advantage from inorganic growth. Doing so, big M&amp;A deals show a higher risk of failing, being terminated, or being incomplete, which can lead to financial, reputational, and time losses. Due to these factors, prudent risk-management of such transactions is necessary, including the evaluation of the degree to which various risk groups influence M&amp;A success. This paper evaluates big (those the value of which exceeds 10 billion euros) M&amp;A projects risks influence on the success of the deal closure quantitatively and offers recommendations for managing significant risks using the project methodology. The analysis includes probit-regressions on a wide sample of 24 countries and 10 amalgamated industries. As a result, five risk groups appear significant: risk of transaction's hostile nature; cross-country risks; risk of misjudging the transaction value; risks associated with the size ratio of target and acquiring companies; risk of delaying the terms of the deal. Transnational mergers and acquisitions demonstrate a stronger influence of all significant risks on the transaction's success. The paper provides recommendations for managing significant risks using the project methodology.</p></abstract><trans-abstract xml:lang="ru"><p>В текущих условиях нестабильности мировой экономики сделки слияний и поглощений являются одним из ключевых способов стабилизировать и укрепить свою рыночную позицию, получить конкурентное преимущество за счет неорганического роста. У крупных проектов слияний и поглощений увеличивается шанс стать неуспешными, прерванными или незавершенными, что сопряжено с финансовыми, репутационными и временными потерями. Это делает необходимым грамотно разрабатывать стратегии управления рисками таких сделок и определять степень влияния различных категорий рисков на их успешность. Данное исследование посвящено количественной оценке влияния рисков крупных (стоимостью более 10 млрд евро) проектов слияний и поглощений на успешное заключение сделки, а также разработке на этой основе рекомендаций для управления значимыми рисками с использованием проектной методологии. Анализ был выполнен при помощи probit-регрессий на широкой выборке из 24 стран и 10 укрупненных отраслей. В результате значимыми показали себя пять групп рисков: враждебного характера сделки; наличие странового барьера; неверной оценки стоимости сделки; coотношения размеров компании-цели и компании-покупателя; отклонения сроков заключения сделки. При этом транснациональные слияния и поглощения демонстрируют более сильное влияние всех значимых рисков на успешность сделки.</p></trans-abstract><kwd-group xml:lang="en"><kwd>mergers and acquisitions</kwd><kwd>risk management</kwd><kwd>project management</kwd><kwd>project risks</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>слияния и поглощения</kwd><kwd>управление рисками проектов</kwd><kwd>риск-менеджмент</kwd><kwd>проектное управление</kwd><kwd>проектные риски</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>﻿Алефиров В.И. (2017). Самые неудачные сделки M&amp;A на развивающихся рынках капитала: основные причины неудач: бакалаврская выпускная работа. Образовательная программа «Экономика». М.: НИУ ВШЭ. 63 с.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Грачева М.В. (2002). Управление проектными рисками. 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