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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">voprstat</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы статистики</journal-title><trans-title-group xml:lang="en"><trans-title>Voprosy Statistiki</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2313-6383</issn><issn pub-type="epub">2658-5499</issn><publisher><publisher-name></publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">voprstat-497</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>СТАТИСТИЧЕСКИЕ МЕТОДЫ В АНАЛИЗЕ ЭКОНОМИЧЕСКИХ И СОЦИАЛЬНЫХ ПРОЦЕССОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>STATISTICAL METHODS IN ANALYSIS OF ECONOMIC AND SOCIAL PROCESSES</subject></subj-group></article-categories><title-group><article-title>СТАТИСТИЧЕСКОЕ ИССЛЕДОВАНИЕ ИНФОРМАЦИОННОГО ПРОСТРАНСТВА ФИНАНСОВОГО РЫНКА</article-title><trans-title-group xml:lang="en"><trans-title>STATISTICAL RESEARCH OF FINANCIAL MARKET INFORMATION SPACE</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>Алексеев</surname><given-names>Михаил Анатольевич</given-names></name><name name-style="western" xml:lang="en"><surname>Alekseev</surname><given-names>M. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>канд. экон. наук, зав. кафедрой корпоративного управления и финансов</p></bio><email xlink:type="simple">m.a.alekseev@nsuem.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Глинский</surname><given-names>Владимир Васильевич</given-names></name><name name-style="western" xml:lang="en"><surname>Glinskiy</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p> д-р экон. наук, профессор, заведующий кафедрой статистики</p></bio><email xlink:type="simple">vestnik@nsuem.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лихутин</surname><given-names>П. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Likhutin</surname><given-names>P. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>канд. экон. наук, доцент кафедры корпоративного управления и финансов</p></bio><email xlink:type="simple">p.n.lihutin@edu.nsuem.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Новосибирский государственный университет экономики и управления «НИНХ»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Novosibirsk State University of Economics and Management</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>22</day><month>05</month><year>2017</year></pub-date><volume>0</volume><issue>5</issue><fpage>28</fpage><lpage>38</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Алексеев М.А., Глинский В.В., Лихутин П.Н., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Алексеев М.А., Глинский В.В., Лихутин П.Н.</copyright-holder><copyright-holder xml:lang="en">Alekseev M.A., Glinskiy V.V., Likhutin P.N.</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://voprstat.elpub.ru/jour/article/view/497">https://voprstat.elpub.ru/jour/article/view/497</self-uri><abstract><p>Работа содержит обобщение результатов авторских исследований в построении типологии информационного простран­ства финансового рынка. Решается задача оценки инвестиционного климата территории на основе выявления ключевых типов информационных потоков. В качестве статистического инструментария исследования использован аппарат портфельного анализа [модифицированная матрица БКГ (Бостонской консалтинговой группы)]. Идентификация, описание и группировка типов поведения хозяйствующих субъектов в информационном пространстве финансового рынка реализованы путем сопоставления классификационных разрезов по двум признакам ­ объективность и доступность информации. Раскрыт двойственный динамический характер инвестиционного поведения хозяйствующего субъекта с точки зрения его отражения в информационном пространстве финансового рынка. Представлена типологическая группировка компаний пище­вой промышленности Новосибирской области в информационном пространстве финансового рынка. Полученные результаты обладают предсказательной силой в оценке сформировавшегося инвестиционного климата. В качестве информационной базы исследования использованы данные государственной статистики, специализированных информационно-­аналитических систем.</p><sec><title> </title><p> </p></sec><sec><title> </title><p> </p></sec></abstract><trans-abstract xml:lang="en"><p>This article contains generalized findings of authors’ research which is oriented on the creation of typology of financial market information space. Research purpose is the assessment of regional investment climate through the identification of the key types of information streams. The technology of the portfolio analysis [modified BCG matrix (Boston Consulting Group)] was used as an analytical tool for complex statistical research. The approach compares two classification attributes - «reliability» and «availability» of information. The article results lie in pre-classification, description and grouping of types of behavior patterns of economic entities in financial market information space. The dual nature of investment behavior of economic entity in financial market information space was disclosed. In financial market information space the food and beverage companies of the Novosibirsk region were classified. The received results can be used for assessment of regional investment climate.  Data used for research purposes was received from official statistics and from specialized information-analytical databases.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>информационное пространство</kwd><kwd>классификация</kwd><kwd>типологическая группировка</kwd><kwd>инвестиционный климат</kwd></kwd-group><kwd-group xml:lang="en"><kwd>information space</kwd><kwd>classification</kwd><kwd>typology</kwd><kwd>investment climate</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">Алексеев М.А. 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