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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">10.26794/2587-5671-2017-21-2-106-112</article-id><article-id custom-type="elpub" pub-id-type="custom">finance-350</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>МАТЕМАТИЧЕСКИЕ И ИНСТРУМЕНТАЛЬНЫЕ МЕТОДЫ ИССЛЕДОВАНИЯ ЭКОНОМИКИ</subject></subj-group></article-categories><title-group><article-title>ЭМПИРИЧЕСКИЙ АНАЛИЗ ДЕТЕРМИНАНТ СТРУКТУРЫ КАПИТАЛА ФИРМЫ</article-title><trans-title-group xml:lang="en"><trans-title>AN EMPIRICAL ANALYSIS OF DETERMINANT FACTORS OF THE COMPANY’S CAPITAL STRUCTURE</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>Киршин</surname><given-names>И. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kirshin</surname><given-names>I. A.</given-names></name></name-alternatives><email xlink:type="simple">kia1125@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт управления, экономики и финансов, Казанский федеральный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kazan Federal University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>10</day><month>10</month><year>2017</year></pub-date><volume>21</volume><issue>2</issue><fpage>106</fpage><lpage>112</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Киршин И.А., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Киршин И.А.</copyright-holder><copyright-holder xml:lang="en">Kirshin I.A.</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/350">https://financetp.fa.ru/jour/article/view/350</self-uri><abstract><p>Формирование оптимальной структуры капитала фирмы выступает стратегическим приоритетом теории корпоративных финансов и имеет важное прикладное значение в решениях по финансовому менеджменту. Целью данного исследования является эмпирический анализ значимости и степени влияния ряда традиционных детерминант финансового левериджа на формирование структуры капитала отечественных компаний. Для достижения поставленной цели была построена эконометрическая линейная модель множественной регрессии средствами пакета Gretl, определена ее спецификация и проверена адекватность построенной модели и значимость параметров. Для получения оценок построенной регрессионной модели применялся метод наименьших квадратов и было проведено эмпирическое тестирование модели. Была сделана выборка панельных данных, представляющих финансовые параметры восьми фирм нефтегазохимического комплекса Республики Татарстан за шесть лет с 2010 по 2015 г. В качестве регрессоров модели использованы шесть переменных - размер фирмы, рентабельность активов, возможности роста стоимости основных производственных средств и оборудования и роста совокупных активов, недолговой налоговый щит и материальные активы. В представленном исследовании определено, что не все традиционные детерминанты финансового левериджа оказываются значимыми при определении структуры капитала отечественных фирм. В результате эмпирического тестирования подтверждены гипотеза положительной связи уровня финансового рычага и размера фирмы и гипотезы обратной зависимости рентабельности, возможности роста основных производственных средств и оборудования, недолгового налогового щита с уровнем финансового левериджа. Выявлено, что наибольшее влияние на структуру капитала фирмы оказывает недолговой налоговый щит. Полученные результаты характера связей размера фирмы, возможности роста основных производственных средств и оборудования, недолгового налогового щита и уровня финансового рычага соответствуют положениям компромиссной теории. В то время как результат характера связи рентабельности и финансового рычага соответствует теории порядка.</p></abstract><trans-abstract xml:lang="en"><p>According to the theory of corporate finance, optimal structuring of the company’s capital is a strategic priority having an important applied value while making decision on financial management. The study deals with an empirical analysis of the significance and degree of influence of a number of traditional determinants of financial leverage on the capital structure of domestic companies. To achieve this goal, an econometric linear model of multiple regression was built using the Gretl package; its specification was defined, and the adequacy of the model as well as the significance of parameters were tested. To obtain estimates of the linear regression model, the least squares method was used and the model was empirically tested. The selected data included panel data representing the financial parameters of eight companies of the oil and gas chemical complex of the Republic of Tatarstan over 6-year period from 2010 to 2015. Six variables were used as regressors of the model: the company’s size, the profitability of assets, the possibility of increasing the value of fixed assets and equipment, the growth of total assets, the non-debt tax shield and tangible assets. As a result of empirical testing, the hypothesis of a positive link between the level of financial leverage and the size of the firm as well as the hypothesis of inverse dependence between profitability, the possibility of growth of basic production assets and the equipment, nondebt tax shield and level of financial leverage were confirmed.</p><p>The paper reveals that the non-debt tax shield has the greatest influence on the company’s capital structure. The obtained results reflecting a specific connection between the company size, possibility of growth of the main production facilities and the equipment, non-debt tax shield and level of financial leverage well agree with the provisions of compromise theory. On the other hand, the relationship between profitability and financial leverage corresponds to the theory of order.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>структура капитала компании</kwd><kwd>финансовый рычаг</kwd><kwd>детерминанты структуры капитала компании</kwd><kwd>линейная многофакторная регрессия</kwd><kwd>панельные данные</kwd></kwd-group><kwd-group xml:lang="en"><kwd>company’s capital structure</kwd><kwd>financial leverage</kwd><kwd>capital structure determinants</kwd><kwd>multiple linear regression</kwd><kwd>panel data</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">Gaud P., Hoesli M., Jani E., Bender A. The capital structure of Swiss companies: an empirical analysis using dynamic panel data. European Financial Management, 2005, vol. 11, issue 1, pp. 51-69.</mixed-citation><mixed-citation xml:lang="en">Gaud P., Hoesli M., Jani E., Bender A. 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