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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">asu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Атырауского университета имени Халела Досмухамедова</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of the Khalel Dosmukhamedov Atyrau University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2077-0197</issn><issn pub-type="epub">2790-332X</issn><publisher><publisher-name>Атырауский университет имени Халела Досмухамедова</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.47649/vau.25.v79.i4.27</article-id><article-id custom-type="elpub" pub-id-type="custom">asu-2525</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>ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMICS</subject></subj-group></article-categories><title-group><article-title>ОЦЕНКА ВОЛАТИЛЬНОСТИ АКЦИЙ КАЗАХСТАНСКОГО ФОНДОВОГО РЫНКА НА ОСНОВЕ МОДЕЛЕЙ GARCH</article-title><trans-title-group xml:lang="en"><trans-title>ESTIMATION OF VOLATILITY OF SHARES OF THE KAZAKHSTAN STOCK MARKET BASED ON GARCH MODELS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2475-0573</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Какижанова</surname><given-names>Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Kakizhanova</surname><given-names>T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Толкын Какижанова – кандидат экономических наук, старший преподаватель кафедры «Экономика»,</p><p>пр. аль-Фараби, 71, 050040, г.Алматы</p></bio><bio xml:lang="en"><p>Tolkyn Kakizhanova – Candidate of Economic Sciences, Senior Lecturer, Department of Economics,</p><p>71 Al-Farabi Ave., 050040, Almaty</p></bio><email xlink:type="simple">Tolkyn.Kakizhanova@kaznu.edu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7458-8711</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Андабаева</surname><given-names>Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Andabayeva</surname><given-names>G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гульмира Андабаева – кандидат экономических наук, доцент кафедры «Экономика»,</p><p>пр. аль-Фараби, 71, 050040, г.Алматы</p></bio><bio xml:lang="en"><p>Gulmira Andabayeva – Candidate of Economic Sciences, Associate Professor, Department of Economics,</p><p>71 Al-Farabi Ave., 050040, Almaty</p></bio><email xlink:type="simple">andabayeva.gulmira@kaznu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4965-5908</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бимендиева</surname><given-names>Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Bimendiyeva</surname><given-names>L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Лайла Бимендиева – кандидат экономических наук, доцент кафедры «Экономика»,</p><p>пр. аль-Фараби, 71, 050040, г.Алматы</p></bio><bio xml:lang="en"><p>Laila Bimendiyeva – Candidate of Economic Sciences, Associate Professor, Department of Economics,</p><p>71 Al-Farabi Ave., 050040, Almaty</p></bio><email xlink:type="simple">Leila.Bimendiyeva@kaznu.edu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0085-3057</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Акпарова</surname><given-names>А.</given-names></name><name name-style="western" xml:lang="en"><surname>Akparova</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Айгуль Акпарова – кандидат экономических наук (PhD), профессор кафедры «Международный бизнес»,</p><p>ул. Муратбаева, 200, 050022, г.Алматы</p></bio><bio xml:lang="en"><p>Aigul Akparova – Candidate of Economic Sciences (PhD), Professor, Department of International Business,</p><p>200 Muratbayev St., 050022, Almaty</p></bio><email xlink:type="simple">aigul.akparova@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Казахский национальный университет имени аль-Фараби<country>Казахстан</country></aff><aff xml:lang="en">Al-Farabi Kazakh National University<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Казахский университет международных отношений и мировых языков имени Абылайхана<country>Казахстан</country></aff><aff xml:lang="en">Ablai Khan University of International Relations and World Languages<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>21</day><month>02</month><year>2026</year></pub-date><volume>79</volume><issue>4</issue><fpage>300</fpage><lpage>310</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Какижанова Т., Андабаева Г., Бимендиева Л., Акпарова А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Какижанова Т., Андабаева Г., Бимендиева Л., Акпарова А.</copyright-holder><copyright-holder xml:lang="en">Kakizhanova T., Andabayeva G., Bimendiyeva L., Akparova 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://asu.ejournal.kz/jour/article/view/2525">https://asu.ejournal.kz/jour/article/view/2525</self-uri><abstract><p>Поскольку волатильность акций является важнейшим показателем инвестиционного риска и отражает возможные ценовые колебания, она играет ключевую роль в финансовом анализе. Более высокая волатильность означает более высокую вероятность как значительных прибылей, так и убытков. Инвесторы используют данный показатель для поиска торговых возможностей и согласования своих активов с уровнем допустимого риска. Таким образом, волатильность необходима для принятия обоснованных решений, оценки стоимости производных инструментов и формирования инвестиционных портфелей. Цель статьи - прогнозирование и оценка волатильности акций на рынке ценных бумаг Республики Казахстан. Методология исследования. В статье проведён системный анализ и обобщение научной информации. На основе анализа различных методов, применяемых зарубежными исследователями, использована обобщённая авторегрессионная модель условной гетероскедастичности (GARCH), предполагающая, что текущая изменчивость дисперсии зависит как от предыдущих изменений показателей, так и от предыдущих оценок дисперсии. Научная новизна / ценность. В работе предпринята попытка оценить рискованность акций на рынке ценных бумаг Казахстана через анализ существующих теорий и эмпирических исследований. Результаты исследования. Сравнение рисков, связанных с акциями HSBK, KZTK и KZTO, показало, что инвестору необходимо уделять особое внимание рисковости каждой отдельной акции. Для этого требуется определить периоды высокой и низкой волатильности, а также распределение ежедневных ценовых колебаний. Результаты моделирования по методу GARCH свидетельствуют о том, что акции KZTK обладают более высоким уровнем риска по сравнению с другими. Эмпирические данные подтверждают, что рассматриваемые финансовые инструменты постоянно чередуются между фазами высокой и низкой волатильности. При этом в периоды низкой волатильности риск инструмента может быть завышен на основании данных, полученных в условиях экстремально высокой волатильности.</p></abstract><trans-abstract xml:lang="en"><p>Because it is a crucial indicator of investment risk and can signal potential price swings, share volatility is vital. Larger volatility suggests a larger chance of both significant gains and large losses. Because investors utilise it to find trading opportunities and match their assets with their risk tolerance, it is essential for making well-informed decisions, pricing alternatives, and building portfolios. The primary purpose of the article. Forecasting and assessing the volatility of stocks in the securities market of the Republic of Kazakhstan. Research methodology. The article systematically analysed and synthesised scientific information. Analysing various methods in the research of foreign scientists, a generalised autoregressive heteroskedasticity model was used, which assumes that the current variability of the dispersion is influenced by both previous changes in indicators and prior estimates of the dispersion (GARCH model). Research features / value. This article attempts to assess the riskiness of stocks in the securities market of the Republic of Kazakhstan by reviewing existing theories and empirical studies. Research results. A comparison of the risks associated with HSBK, KZTK, and KZTO stocks reveals that an investor should focus primarily on a stock's risk. To do this, you need to identify the stock's high- and low-volatility periods, as well as the distribution of daily price fluctuations. GARCH model results indicate that KZTK stock has a higher risk than other stocks. Empirical research has shown that these financial instruments alternate between periods of high and low volatility. A financial instrument's risk will be overestimated during a period of low volatility by the first data points from an exceptionally high volatility period.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>волатильность акций</kwd><kwd>модель GARCH</kwd><kwd>фондовый рынок</kwd><kwd>управление рисками</kwd><kwd>финансовая эконометрика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>share volatility</kwd><kwd>GARCH model</kwd><kwd>stock market</kwd><kwd>risk management</kwd><kwd>financial econometrics</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">Bhowmik R., &amp; Wang S. Stock market volatility and return analysis: A systematic literature review. Entropy, - 2020. 22(5), 522 p. [in English]</mixed-citation><mixed-citation xml:lang="en">Bhowmik R., &amp; Wang S. Stock market volatility and return analysis: A systematic literature review. 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