<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">10.26794/2587-5671-2023-27-2-87-98</article-id><article-id custom-type="elpub" pub-id-type="custom">finance-2081</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>МЕЖДУНАРОДНЫЕ ФИНАНСЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INTERNATIONAL FINANCE</subject></subj-group></article-categories><title-group><article-title>Волатильность доходности инвестиций на фондовом рынке в странах БРИКС</article-title><trans-title-group xml:lang="en"><trans-title>Volatility of Returns in Stock Market Investments: A Study of BRICS Nations</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9854-8175</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Панкунни</surname><given-names>Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Pankunni</surname><given-names>N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Наташа Панкунни - доцент, кафедра коммерции и менеджмента</p><p>Малаппурам, штат Керала</p></bio><bio xml:lang="en"><p>Natasha Pankunni - Assis. Prof., Department of Commerce and Management Studies, School of Business Studies</p><p>Malappuram, Kerala</p></bio><email xlink:type="simple">natashapankunni@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0348-3207</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Раджитха Кумар</surname><given-names>С.</given-names></name><name name-style="western" xml:lang="en"><surname>Rajitha Kumar</surname><given-names>S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>С. Раджитха Кумар - PhD, профессор, Школа исследований в области управления</p><p>Кочи, штат Керала</p></bio><bio xml:lang="en"><p>S. Rajitha Kumar - PhD, Prof., School of Management Studies</p><p>Kochi, Kerala</p></bio><email xlink:type="simple">rajithakumar@cusat.ac.in</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Университет Каликута</institution><country>Индия</country></aff><aff xml:lang="en"><institution>University of Calicut</institution><country>India</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Кочинский университет науки и технологии</institution><country>Индия</country></aff><aff xml:lang="en"><institution>Cochin University of Science and Technology</institution><country>India</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>30</day><month>04</month><year>2023</year></pub-date><volume>27</volume><issue>2</issue><fpage>87</fpage><lpage>98</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Панкунни Н., Раджитха Кумар С., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Панкунни Н., Раджитха Кумар С.</copyright-holder><copyright-holder xml:lang="en">Pankunni N., Rajitha Kumar S.</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/2081">https://financetp.fa.ru/jour/article/view/2081</self-uri><abstract><p>Колебания доходности от инвестиций в акции (волатильность) делают эти инвестиции рискованными. Этот фактор необходимо учитывать при принятии решений об инвестировании в акции, что определяет актуальность настоящего исследования. Цель исследования - путем анализа волатильности доходности акций стран БРИКС определить наличие рискованности инвестиций в соответствующие страны. Авторы собрали и проанализировали ежедневные доходы пяти индексов, представляющих каждую из стран: Ibovespa (Бразилия), Moex (Россия), Nifty 50 (Индия), Hang Seng Index (HSI, Китай) и FTSE/JSE All Share Index (JALSH, Южная Африка) за период в 14 лет. Для каждой из стран изучена как безусловная, так и условная волатильность доходности от инвестиций в акции, что позволяет получить более четкую и полную картину. Такой глубокий и долгосрочный анализ волатильности доходности развивающихся экономик БРИКС составляет новизну исследования, определившего, что ни одна модель волатильности не может быть признана идеальной для всех экономик. Для изучения доходности всех пяти индексов была применена модель GARCH (1, 1). Результаты исследования указывают на то, что дневные доходности всех изученных индексов гетероскедастичны, что означает наличие различной дисперсии. Сделан вывод, что доходность индексов стран БРИКС отличается высокой волатильностью, в связи чем авторы рекомендуют инвесторам вкладывать средства в индексы с меньшей условной волатильностью.</p></abstract><trans-abstract xml:lang="en"><p>Fluctuations in returns from investment in stocks make these risky. This factor should be kept in mind in stock investment decisions, which determines the relevance of this research. Through the study, the volatility in the stock returns of BRICS nations is analysed for inferring on the riskiness associated with investing in the respective nations, which is the aim of the research. For this study, the daily returns of five indexes representing each of the nation namely Ibovespa (Brazil), Moex (Russia), Nifty 50 (India), Hang Seng Index (HSI, China), and FTSE/JSE All Share Index (JALSH, South Africa) for a period of 14 years are collected and analysed. Both unconditional and conditional volatility in returns is analysed for each of the nations for imparting clearer and more comprehensive picture of the volatility in returns. Such an in-depth and long period analysis of volatility of the returns of the emerging BRICS economies is a novelty of the research that determined that no volatility model can be said as perfect for all economies for all time. The GARCH (1, 1) model was used to study for the returns of all the five indexes. The results of the study point out that the daily returns of all these indexes are heteroscedastic, implying presence of varying variance. Accordingly, the study м that the BRICS nations’ index returns are more volatile and riskier, and authors are recommended to invest in those indexes with lesser conditional volatility.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>БРИКС</kwd><kwd>риск</kwd><kwd>доходность акций</kwd><kwd>прогнозирование волатильности</kwd><kwd>волатильность акций</kwd></kwd-group><kwd-group xml:lang="en"><kwd>BRICS</kwd><kwd>risk</kwd><kwd>stock return</kwd><kwd>volatility forecasting</kwd><kwd>volatility of stock</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">Officer R. R. The variability of the market factor of the New York Stock Exchange. The Journal of Business. 1973;46(3):434–453. DOI: 10.1086/295551</mixed-citation><mixed-citation xml:lang="en">Officer R. R. The variability of the market factor of the New York Stock Exchange. The Journal of Business. 1973;46(3):434–453. DOI: 10.1086/295551</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Merton R. C. An intertemporal capital asset pricing model. Econometrica. 1973:41(5):867–887. DOI: 10.2307/1913811</mixed-citation><mixed-citation xml:lang="en">Merton R. C. An intertemporal capital asset pricing model. Econometrica. 1973:41(5):867–887. DOI: 10.2307/1913811</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Engle R. F. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica. 1982;50(4):987–1007. DOI: 10.2307/1912773</mixed-citation><mixed-citation xml:lang="en">Engle R. F. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica. 1982;50(4):987–1007. DOI: 10.2307/1912773</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Bollerslev T. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics. 1986;31(3):307–327. DOI: 10.1016/0304–4076(86)90063–1</mixed-citation><mixed-citation xml:lang="en">Bollerslev T. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics. 1986;31(3):307–327. DOI: 10.1016/0304–4076(86)90063–1</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Engle R. F., Ng V. K. Measuring and testing the impact of news on volatility. The Journal of Finance. 1993;48(5):1749–1778. DOI: 10.1111/j.1540–6261.1993.tb05127.x</mixed-citation><mixed-citation xml:lang="en">Engle R. F., Ng V. K. Measuring and testing the impact of news on volatility. The Journal of Finance. 1993;48(5):1749–1778. DOI: 10.1111/j.1540–6261.1993.tb05127.x</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Engle R. F. Autoregressive conditional heteroscedasticity with estimates of the stock volatility and the Crash of 87: Discussion. The Review of Financial Studies. 1990;3(1):103–106.</mixed-citation><mixed-citation xml:lang="en">Engle R. F. Autoregressive conditional heteroscedasticity with estimates of the stock volatility and the Crash of 87: Discussion. The Review of Financial Studies. 1990;3(1):103–106.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Zakoian J.-M. Threshold heteroskedastic models. Journal of Economic Dynamics and Control. 1994;18(5):931–955. DOI: 10.1016/0165–1889(94)90039–6</mixed-citation><mixed-citation xml:lang="en">Zakoian J.-M. Threshold heteroskedastic models. Journal of Economic Dynamics and Control. 1994;18(5):931–955. DOI: 10.1016/0165–1889(94)90039–6</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Nelson D. B. Conditional heteroscedasticity in asset returns: A new approach. Econometrica. 1991;59(2):347–370. DOI: 10.2307/2938260</mixed-citation><mixed-citation xml:lang="en">Nelson D. B. Conditional heteroscedasticity in asset returns: A new approach. Econometrica. 1991;59(2):347–370. DOI: 10.2307/2938260</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Glosten L. R., Jaganathan R., Runkle D. E. Relationship between the expected value and volatility of the nominal excess returns on stocks. The Journal of Finance. 1993;48(5):1779–1801. DOI: 10.1111/j.1540–6261.1993.tb05128.x</mixed-citation><mixed-citation xml:lang="en">Glosten L. R., Jaganathan R., Runkle D. E. Relationship between the expected value and volatility of the nominal excess returns on stocks. The Journal of Finance. 1993;48(5):1779–1801. DOI: 10.1111/j.1540–6261.1993.tb05128.x</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Taylor S. J. Modelling financial time series. New York, NY: John Wiley &amp; Sons, Inc.; 1986. 268 p.</mixed-citation><mixed-citation xml:lang="en">Taylor S. J. Modelling financial time series. New York, NY: John Wiley &amp; Sons, Inc.; 1986. 268 p.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Schwert G. W., Seguin P. J. Heteroskedasticity in stock returns. The Journal of Finance. 1990;45(4):1129–1155. DOI: 10.1111/j.1540–6261.1990.tb02430.x</mixed-citation><mixed-citation xml:lang="en">Schwert G. W., Seguin P. J. Heteroskedasticity in stock returns. The Journal of Finance. 1990;45(4):1129–1155. DOI: 10.1111/j.1540–6261.1990.tb02430.x</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Ogum G., Beer F., Nouyrigat G. Emerging equity market volatility: An empirical investigation of markets in Kenya and Nigeria. Journal of African Business. 2005;6(1–2):139–154. DOI: 10.1300/J156v06n01_08</mixed-citation><mixed-citation xml:lang="en">Ogum G., Beer F., Nouyrigat G. Emerging equity market volatility: An empirical investigation of markets in Kenya and Nigeria. Journal of African Business. 2005;6(1–2):139–154. DOI: 10.1300/J156v06n01_08</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Balaban E., Bayar A. Stock returns and volatility: Empirical evidence from fourteen countries. Applied Economics Letters. 2005;12(10):603–611. DOI: 10.1080/13504850500120607</mixed-citation><mixed-citation xml:lang="en">Balaban E., Bayar A. Stock returns and volatility: Empirical evidence from fourteen countries. Applied Economics Letters. 2005;12(10):603–611. DOI: 10.1080/13504850500120607</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Uppal J. Y., Mangla I. U. Market volatility, manipulation, and regulatory response: A comparative study of Bombay and Karachi stock markets. The Pakistan Development Review. 2006;45(4):1071–1083. DOI: 10.30541/v45i4IIpp.1071–1083</mixed-citation><mixed-citation xml:lang="en">Uppal J. Y., Mangla I. U. Market volatility, manipulation, and regulatory response: A comparative study of Bombay and Karachi stock markets. The Pakistan Development Review. 2006;45(4):1071–1083. DOI: 10.30541/v45i4IIpp.1071–1083</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Dennis P., Mayhew S., Stivers C. Stock returns, implied volatility innovations, and the asymmetric volatility phenomenon. The Journal of Financial and Quantitative Analysis. 2006;41(2):381–406. DOI: 10.1017/S 0022109000002118</mixed-citation><mixed-citation xml:lang="en">Dennis P., Mayhew S., Stivers C. Stock returns, implied volatility innovations, and the asymmetric volatility phenomenon. The Journal of Financial and Quantitative Analysis. 2006;41(2):381–406. DOI: 10.1017/S 0022109000002118</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Guo H., Savickas R. Average idiosyncratic volatility in G7 countries. The Review of Financial Studies. 2008;21(3):1259–1296. DOI: 10.1093/rfs/hhn043</mixed-citation><mixed-citation xml:lang="en">Guo H., Savickas R. Average idiosyncratic volatility in G7 countries. The Review of Financial Studies. 2008;21(3):1259–1296. DOI: 10.1093/rfs/hhn043</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Alberg D., Shalit H., Yosef R. Estimating stock market volatility using asymmetric GARCH models. Applied Financial Economics. 2008;18(15):1201–1208. DOI: 10.1080/09603100701604225</mixed-citation><mixed-citation xml:lang="en">Alberg D., Shalit H., Yosef R. Estimating stock market volatility using asymmetric GARCH models. Applied Financial Economics. 2008;18(15):1201–1208. DOI: 10.1080/09603100701604225</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Tudor C. An empirical study on risk-return tradeoff using GARCH-class models: Evidence from Bucharest Stock Exchange. In: Proc. Int. conf. on business and economy — ICBE‑2008. (Constanța, 6–8 November, 2008). Constanța; Spiru Haret University; 2008.</mixed-citation><mixed-citation xml:lang="en">Tudor C. An empirical study on risk-return tradeoff using GARCH-class models: Evidence from Bucharest Stock Exchange. In: Proc. Int. conf. on business and economy — ICBE‑2008. (Constanța, 6–8 November, 2008). Constanța; Spiru Haret University; 2008.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Bartram S. M., Brown G., Stulz R. M. Why are U.S. stocks more volatile? The Journal of Finance. 2012;67(4):1329–1370. DOI: 10.1111/j.1540–6261.2012.01749.x</mixed-citation><mixed-citation xml:lang="en">Bartram S. M., Brown G., Stulz R. M. Why are U.S. stocks more volatile? The Journal of Finance. 2012;67(4):1329–1370. DOI: 10.1111/j.1540–6261.2012.01749.x</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Wang Y., Wu C. Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models? Energy Economics. 2012;34(6):2167–2181. DOI: 10.1016/j.eneco.2012.03.010</mixed-citation><mixed-citation xml:lang="en">Wang Y., Wu C. Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models? Energy Economics. 2012;34(6):2167–2181. DOI: 10.1016/j.eneco.2012.03.010</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Lim C. M., Sek S. K. Comparing the performances of GARCH-type models in capturing the stock market volatility in Malaysia. Procedia Economics and Finance. 2013;5:478–487. DOI: 10.1016/S 2212–5671(13)00056–7</mixed-citation><mixed-citation xml:lang="en">Lim C. M., Sek S. K. Comparing the performances of GARCH-type models in capturing the stock market volatility in Malaysia. Procedia Economics and Finance. 2013;5:478–487. DOI: 10.1016/S 2212–5671(13)00056–7</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Nalina K. B. Stock market volatility: A case study in Indian stock market. Ph.D. in management science thesis. Mysore: University of Mysore; 2011. 292 p. URL: https://shodhganga.inflibnet.ac.in/handle/10603/15890</mixed-citation><mixed-citation xml:lang="en">Nalina K. B. Stock market volatility: A case study in Indian stock market. Ph.D. in management science thesis. Mysore: University of Mysore; 2011. 292 p. URL: https://shodhganga.inflibnet.ac.in/handle/10603/15890</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Campbell J. Y., Lettau M., Malkiel B. G., Xu Y. Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk. The Journal of Finance. 2001;56(1):1–43. DOI: 10.1111/0022–1082.00318</mixed-citation><mixed-citation xml:lang="en">Campbell J. Y., Lettau M., Malkiel B. G., Xu Y. Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk. The Journal of Finance. 2001;56(1):1–43. DOI: 10.1111/0022–1082.00318</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang Q., Jaffry S. Global financial crisis effects on volatility spillover between Mainland China and Hong Kong stock markets. Investment Management and Financial Innovations. 2015;12(1):26–34. URL: https://puredev.port.ac.uk/ws/portalfiles/portal/5116715/JAFFRY_2015_cright_IMFI_Global_financial_crisis_effects_on_volatility_spillover.pdf</mixed-citation><mixed-citation xml:lang="en">Zhang Q., Jaffry S. Global financial crisis effects on volatility spillover between Mainland China and Hong Kong stock markets. Investment Management and Financial Innovations. 2015;12(1):26–34. URL: https://puredev.port.ac.uk/ws/portalfiles/portal/5116715/JAFFRY_2015_cright_IMFI_Global_financial_crisis_effects_on_volatility_spillover.pdf</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Tamilselvan M., Vali S. M. Forecasting stock market volatility — evidence from Muscat security market using GARCH models. International Journal of Commerce &amp; Finance. 2016;2(1):37–53. URL: https://oaji.net/articles/2017/2748–1485002113.pdf</mixed-citation><mixed-citation xml:lang="en">Tamilselvan M., Vali S. M. Forecasting stock market volatility — evidence from Muscat security market using GARCH models. International Journal of Commerce &amp; Finance. 2016;2(1):37–53. URL: https://oaji.net/articles/2017/2748–1485002113.pdf</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Sharma P., Vipul. Forecasting stock market volatility using Realized GARCH model: International evidence. The Quarterly Review of Economics and Finance. 2016;59:222–230. DOI: 10.1016/j.qref.2015.07.005</mixed-citation><mixed-citation xml:lang="en">Sharma P., Vipul. Forecasting stock market volatility using Realized GARCH model: International evidence. The Quarterly Review of Economics and Finance. 2016;59:222–230. DOI: 10.1016/j.qref.2015.07.005</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Moreira A., Muir T. Volatility-managed portfolios. The Journal of Finance. 2017;72(4):1611–1644. DOI: 10.1111/jofi.12513</mixed-citation><mixed-citation xml:lang="en">Moreira A., Muir T. Volatility-managed portfolios. The Journal of Finance. 2017;72(4):1611–1644. DOI: 10.1111/jofi.12513</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Carvalho D. How do financing constraints affect firms’ equity volatility? The Journal of Finance. 2018;73(3):1139–1182. DOI: 10.1111/jofi.12610</mixed-citation><mixed-citation xml:lang="en">Carvalho D. How do financing constraints affect firms’ equity volatility? The Journal of Finance. 2018;73(3):1139–1182. DOI: 10.1111/jofi.12610</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Seoane H. D. Time-varying volatility, default, and the sovereign risk premium. International Economic Review. 2019;60(1):283–301. DOI: 10.1111/iere.12353</mixed-citation><mixed-citation xml:lang="en">Seoane H. D. Time-varying volatility, default, and the sovereign risk premium. International Economic Review. 2019;60(1):283–301. DOI: 10.1111/iere.12353</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Bollerslev T., Meddahi N., Nyawa S. High-dimensional multivariate realized volatility estimation. Journal of Econometrics. 2019;212(1):116–136. DOI: 10.1016/j.jeconom.2019.04.023</mixed-citation><mixed-citation xml:lang="en">Bollerslev T., Meddahi N., Nyawa S. High-dimensional multivariate realized volatility estimation. Journal of Econometrics. 2019;212(1):116–136. DOI: 10.1016/j.jeconom.2019.04.023</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Selmi R., Bouoiyour J., Hammoudeh S. Common and country-specific uncertainty fluctuations in major oil-producing countries: A comparative study. Journal of Economic Integration. 2020;35(4):724–750. DOI: 10.11130/jei.2020.35.4.724</mixed-citation><mixed-citation xml:lang="en">Selmi R., Bouoiyour J., Hammoudeh S. Common and country-specific uncertainty fluctuations in major oil-producing countries: A comparative study. Journal of Economic Integration. 2020;35(4):724–750. DOI: 10.11130/jei.2020.35.4.724</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Kishor N., Singh R. P. Stock return volatility effect: Study of BRICS. Transnational Corporations Review. 2014;6(4):406–418. DOI: 10.5148/tncr.2014.6406</mixed-citation><mixed-citation xml:lang="en">Kishor N., Singh R. P. Stock return volatility effect: Study of BRICS. Transnational Corporations Review. 2014;6(4):406–418. DOI: 10.5148/tncr.2014.6406</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Hunzinger C. B., Labuschagne C. C.A., Boetticher S. T. Volatility skews of indexes of BRICS securities exchanges. Procedia Economics and Finance. 2014;14:263–272. DOI: 10.1016/S 2212–5671(14)00711–4</mixed-citation><mixed-citation xml:lang="en">Hunzinger C. B., Labuschagne C. C.A., Boetticher S. T. Volatility skews of indexes of BRICS securities exchanges. Procedia Economics and Finance. 2014;14:263–272. DOI: 10.1016/S 2212–5671(14)00711–4</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Kang S. H., McIver R., Yoon S.-M. Modeling time-varying correlations in volatility between BRICS and commodity markets. Emerging Markets Finance &amp; Trade. 2016;52(7):1698–1723. DOI: 10.1080/1540496X.2016.1143248</mixed-citation><mixed-citation xml:lang="en">Kang S. H., McIver R., Yoon S.-M. Modeling time-varying correlations in volatility between BRICS and commodity markets. Emerging Markets Finance &amp; Trade. 2016;52(7):1698–1723. DOI: 10.1080/1540496X.2016.1143248</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Boubaker H., Raza S. A. A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets. Energy Economics. 2017;64:105–117. DOI: 10.1016/j.eneco.2017.01.026</mixed-citation><mixed-citation xml:lang="en">Boubaker H., Raza S. A. A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets. Energy Economics. 2017;64:105–117. DOI: 10.1016/j.eneco.2017.01.026</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Gujarati D. N., Porter D. C. Basic econometrics. New York, NY: McGraw-Hill/Irwin; 2009. 944 p. 37. Mandelbrot B. B. The variation of certain speculative prices. The Journal of Business. 1963;36(4):394–419. DOI: 10.1086/294632</mixed-citation><mixed-citation xml:lang="en">Gujarati D. N., Porter D. C. Basic econometrics. New York, NY: McGraw-Hill/Irwin; 2009. 944 p. 37. Mandelbrot B. B. The variation of certain speculative prices. The Journal of Business. 1963;36(4):394–419. DOI: 10.1086/294632</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>
