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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">emanag</journal-id><journal-title-group><journal-title xml:lang="ru">E-Management</journal-title><trans-title-group xml:lang="en"><trans-title>E-Management</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2658-3445</issn><issn pub-type="epub">2686-8407</issn><publisher><publisher-name>State University of Management</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26425/2658-3445-2023-6-4-64-71</article-id><article-id custom-type="elpub" pub-id-type="custom">emanag-410</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>Актуальные вопросы экономики</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Current economic issues</subject></subj-group></article-categories><title-group><article-title>Формирование рынка капитала Китая</article-title><trans-title-group xml:lang="en"><trans-title>Formation of China’s Capital 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/0000-0003-2478-0307</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Михайлов</surname><given-names>А. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Mikhaylov</surname><given-names>A. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Михайлов Алексей Юрьевич, Канд. экон. наук, вед. науч. сотр.</p><p>г. Москва</p></bio><bio xml:lang="en"><p>Alexey Yu. Mikhaylov, Cand. Sci. (Econ.), Leading Researcher</p><p>Moscow</p></bio><email xlink:type="simple">alexeyfa@ya.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт Китая и современной Азии Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of China and Contemporary Asia of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>23</day><month>01</month><year>2024</year></pub-date><volume>6</volume><issue>4</issue><fpage>64</fpage><lpage>71</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Михайлов А.Ю., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Михайлов А.Ю.</copyright-holder><copyright-holder xml:lang="en">Mikhaylov A.Y.</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://e-management.guu.ru/jour/article/view/410">https://e-management.guu.ru/jour/article/view/410</self-uri><abstract><p>В статье представлен углубленный анализ становления и развития рынка капитала (сегмент акций и облигаций) Китая. Освещаются факторы, определяющие оценку акций, которые находятся в обращении. В то время как первый фактор выявляет оценку на основе финансовой отчетности компании, второй учитывает текущую рыночную конъюнктуру и настроения инвесторов. Изучая исторические данные, интересно отметить, что с 2000 г. по 2006 г. общая рыночная капитализация акций оставалась стабильной и составила существенные 4 трлн китайских юаней. Однако в 2007 г. произошел значительный сдвиг, когда рыночная капитализация весомо выросла и достигла целых 30 трлн китайских юаней. Этот внезапный рост можно объяснить различными причинами, такими как повышение доверия инвесторов, благоприятные экономические условия и внедрение прогрессивного финансового регулирования. Кроме того, важно отметить, что в том же году индекс Shanghai Composite (ключевой индикатор китайского фондового рынка) достиг беспрецедентного значения в 6 123,04 пункта. Такой показатель продемонстрировал устойчивость и потенциал китайского рынка капитала, а также привлек как внутренних, так и международных инвесторов. Таким образом, анализ, представленный в статье, раскрывает тонкости китайского рынка капитала и механизмы его оценки. В таком анализе устанавливается важность как балансовой, так и рыночной стоимости при определении оценки акций, находящихся в обращении. Кроме того, исторические тенденции подчеркнули устойчивость и уязвимость рынка к внешним шокам, о чем свидетельствуют значительные колебания рыночной капитализации. В целом настоящее исследование помогает понять китайский рынок капитала и его эволюцию с течением времени.</p></abstract><trans-abstract xml:lang="en"><p>The article presents an in-depth analysis of the formation and development of the capital market (stocks and bonds segment) in China. The factors determining the valuation of shares that are in circulation are highlighted. While the first factor identifies an assessment based on the company’s financial statements, the second factor considers current market conditions and investor sentiment. Examining historical data, it is interesting to note that from 2000 to 2006, the total market capitalization of stocks remained stable and amounted to a substantial 4 trillion yuan. However, in 2007 There was a significant shift when the market capitalization grew significantly and reached as much as 30 trillion yuan. This sudden growth can be explained by various reasons, such as increased investor confidence, favorable economic conditions and the introduction of progressive financial regulation. In addition, it is important to note that in the same year, the Shanghai Composite index (a key indicator of the Chinese stock market) reached an unprecedented value of 6,123.04 points. This indicator demonstrated the stability and potential of the Chinese capital market, and attracted both domestic and international investors. Thus, the analysis presented in the article reveals the intricacies of the Chinese capital market and the mechanisms of its assessment. This analysis establishes the importance of both book value and market value in determining the valuation of outstanding shares. In addition, historical trends have highlighted the resilience and vulnerability of the market to external shocks, as evidenced by significant fluctuations in market capitalization. In general, this study helps to understand the Chinese capital market and its evolution over time.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Региональная эффективность</kwd><kwd>индексы</kwd><kwd>финансовые технологии</kwd><kwd>финансовые инновации</kwd><kwd>финансовая глубина</kwd><kwd>монетизация экономики</kwd><kwd>макроэкономическое воздействие</kwd><kwd>банковский сектор</kwd><kwd>концентрация</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Regional efficiency</kwd><kwd>indices</kwd><kwd>financial technologies</kwd><kwd>financial innovations</kwd><kwd>financial depth</kwd><kwd>economy monetization</kwd><kwd>macroeconomic impact</kwd><kwd>banking sector</kwd><kwd>concentration</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">Михайлов А.Ю. Нефтегазовые доходы бюджета в 2015 году: прогноз и риски. Финансовый журнал. 2015;2:47–54.</mixed-citation><mixed-citation xml:lang="en">Hu G.X., Pan J., Wang J. Chinese capital market: An empirical overview. Working Paper. 2018;24346:1–73. https://doi.org/10.3386/w24346</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Hu G.X., Pan J., Wang J. Chinese capital market: An empirical overview. Working Paper. 2018;24346:1–73. https://doi.org/10.3386/w24346</mixed-citation><mixed-citation xml:lang="en">Mikhailov A.Y. Oil and gas budget revenues in 2015: forecast and risks. Financial Journal. 2015;2:47–54. (In Russian).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Mikhaylov A. The yield of the carry trade strategy. Finance: Theory and Practice. 2018;22(3):52–63. https://doi.org/10.26794/2587-5671-2018-22-3-52-63</mixed-citation><mixed-citation xml:lang="en">Mikhaylov A. The yield of the carry trade strategy. Finance: Theory and Practice. 2018;22(3):52–63. https://doi.org/10.26794/2587-5671-2018-22-3-52-63</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Mikhaylov A., Burakov D., Didenko V. Relationship between Oil Price and Macroeconomic Indicators in Russia. Finance: Theory and Practice. 2019; 23(2):105–116. https://doi.org/10.26794/2587-5671-2019-23-2-105-116</mixed-citation><mixed-citation xml:lang="en">Mikhaylov A., Burakov D., Didenko V. Relationship between Oil Price and Macroeconomic Indicators in Russia. Finance: Theory and Practice. 2019; 23(2):105–116. https://doi.org/10.26794/2587-5671-2019-23-2-105-116</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Reus L., Sepulveda-Hurtado G.A. Foreign exchange trading and management with the stochastic dual dynamic programming method. Financial Innovation. 2023;9(1):1–38.</mixed-citation><mixed-citation xml:lang="en">Reus L., Sepulveda-Hurtado G.A. Foreign exchange trading and management with the stochastic dual dynamic programming method. Financial Innovation. 2023;9(1):1–38.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Schmitt N., Schwartz I., Westerhoff F. Heterogeneous speculators and stock market dynamics: a simple agent-based computational model. The European Journal of Finance, 2022;28–13(15):1263–1282.</mixed-citation><mixed-citation xml:lang="en">Schmitt N., Schwartz I., Westerhoff F. Heterogeneous speculators and stock market dynamics: a simple agent-based computational model. The European Journal of Finance, 2022;28–13(15):1263–1282.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Shen H., Cheng X., Ouyang C., Li Y., Chan K.C. Does share pledging affect firms’ use of derivatives? Evidence from China. Emerging Markets Review. 2022;50:100841.</mixed-citation><mixed-citation xml:lang="en">Shen H., Cheng X., Ouyang C., Li Y., Chan K.C. Does share pledging affect firms’ use of derivatives? Evidence from China. Emerging Markets Review. 2022;50:100841.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Stadnik B. Convexity arbitrage – the idea which does not work. Cogent Economics &amp; Finance. 2022 10(1):2019361.</mixed-citation><mixed-citation xml:lang="en">Stadnik B. Convexity arbitrage – the idea which does not work. Cogent Economics &amp; Finance. 2022 10(1):2019361.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Sun L., Peng J., Dincer H., Yuksel S. Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut. Energy. 2022;256:124606.</mixed-citation><mixed-citation xml:lang="en">Sun L., Peng J., Dincer H., Yuksel S. Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut. Energy. 2022;256:124606.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Tracy J.L., Robins R.W. The automaticity of emotion recognition. Emotion. 2008:8(1):81.</mixed-citation><mixed-citation xml:lang="en">Tracy J.L., Robins R.W. The automaticity of emotion recognition. Emotion. 2008:8(1):81.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Vourdas A. Quantum probabilities as dempster-shafer probabilities in the lattice of subspaces. Journal of Mathematical Physics. 2014;55(8):082107.</mixed-citation><mixed-citation xml:lang="en">Vourdas A. Quantum probabilities as dempster-shafer probabilities in the lattice of subspaces. Journal of Mathematical Physics. 2014;55(8):082107.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Wang N., Zhou, Q. Does commodity hedging with derivatives reduce stock price volatility? Finance Research Letters. 2022;50:103321.</mixed-citation><mixed-citation xml:lang="en">Wang N., Zhou, Q. Does commodity hedging with derivatives reduce stock price volatility? Finance Research Letters. 2022;50:103321.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Wang X., Zhong Z.K. Dealer inventory, pricing, and liquidity in the OTC derivatives markets: Evidence from index CDSs. Journal of Financial Markets. 2022;57:100617.</mixed-citation><mixed-citation xml:lang="en">Wang X., Zhong Z.K. Dealer inventory, pricing, and liquidity in the OTC derivatives markets: Evidence from index CDSs. Journal of Financial Markets. 2022;57:100617.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Wang X., Lucey B., Huang S. Can gold hedge against oil price movements: Evidence from GARCH-EVT wavelet modeling. Journal of Commodity Markets. 2022;27:100226.</mixed-citation><mixed-citation xml:lang="en">Wang X., Lucey B., Huang S. Can gold hedge against oil price movements: Evidence from GARCH-EVT wavelet modeling. Journal of Commodity Markets. 2022;27:100226.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Wu X., Dincer H., Yuksel S. Analysis of crowdfunding platforms for microgrid project investors via a q-rung orthopair fuzzy hybrid decision-making approach. Financial Innovation. 2022;8(1):52.</mixed-citation><mixed-citation xml:lang="en">Wu X., Dincer H., Yuksel S. Analysis of crowdfunding platforms for microgrid project investors via a q-rung orthopair fuzzy hybrid decision-making approach. Financial Innovation. 2022;8(1):52.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Xu X., Yuksel S., Dincer H. An integrated decision-making approach with golden cut and bipolar q-ROFSs to renewable energy storage investments. International Journal of Fuzzy Systems. 2023;25(1):168–181.</mixed-citation><mixed-citation xml:lang="en">Xu X., Yuksel S., Dincer H. An integrated decision-making approach with golden cut and bipolar q-ROFSs to renewable energy storage investments. International Journal of Fuzzy Systems. 2023;25(1):168–181.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
