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Ushbu maqolada tadqiqot obyekti qilib Oʻzbekistonda faoliyat yuritayotgan 5 ta real sektor korxonasi, yaʼni “Kvarts” Aj (KVTS), “Qizilqumsement” AJ (QZSM), “Qoʻqon mexanika zavodi” AJ (KUMZ), “Oʻzbekiston metallurgiya kombinati” AJ (UZMK), “Olmaliq kon-metallurgiya kombinati” AJ (AGMK) olingan. Tahlil amalga oshirishda aksiyadorlik jamiyatlari va fond indeksining 2017-yildan to 2024 yillardagi fond bozoridagi faoliyati olingan. Pandemiya davridagi keskin oʻzgarishlar tadqiqot aniqlik darajasini pasaytirmasligi uchun uchun tadqiqot davrini pandemiyadan oldingi, pandemiya davri va pandemiyadan keyingi davrlarga ajratilgan holda oʻrganildi. Investitsiya portfeli moliyaviy risklarini baholashda Sortino koeffitsiyentidan foydalanildi, ushbu koeffitsiyentni qoʻllashning afzalliklari va kamchiliklari tahlil qilindi.

  • Read count 34
  • Date of publication 30-08-2024
  • Main LanguageO'zbek
  • Pages148-153
Ўзбек

Ushbu maqolada tadqiqot obyekti qilib Oʻzbekistonda faoliyat yuritayotgan 5 ta real sektor korxonasi, yaʼni “Kvarts” Aj (KVTS), “Qizilqumsement” AJ (QZSM), “Qoʻqon mexanika zavodi” AJ (KUMZ), “Oʻzbekiston metallurgiya kombinati” AJ (UZMK), “Olmaliq kon-metallurgiya kombinati” AJ (AGMK) olingan. Tahlil amalga oshirishda aksiyadorlik jamiyatlari va fond indeksining 2017-yildan to 2024 yillardagi fond bozoridagi faoliyati olingan. Pandemiya davridagi keskin oʻzgarishlar tadqiqot aniqlik darajasini pasaytirmasligi uchun uchun tadqiqot davrini pandemiyadan oldingi, pandemiya davri va pandemiyadan keyingi davrlarga ajratilgan holda oʻrganildi. Investitsiya portfeli moliyaviy risklarini baholashda Sortino koeffitsiyentidan foydalanildi, ushbu koeffitsiyentni qoʻllashning afzalliklari va kamchiliklari tahlil qilindi.

Русский

В данной статье в качестве объекта исследования были взяты 5 предприятий реального сектора, действующих в Узбекистане, а именно: АО «Кварц» (КВТС), АО «Кызылкумсемент» (QZSM), АО «Коконский механический завод» (КУМЗ), АО «Металлургический комбинат Узбекистана». (УЗМК), АО «Алмалыкский горнометаллургический комбинат» (АГМК). В ходе анализа были получены данные о деятельности акционерных обществ на фондовом рынке и фондовых индексах с 2017 по 2024 год. Чтобы не снижать уровень точности исследования из-за резких изменений во время пандемии, период исследования был разделен на пред пандемический, пандемический и пост пандемический периоды. Коэффициент Сортино был использован для оценки финансовых рисков инвестиционного портфеля, а также проанализированы преимущества и недостатки использования этого коэффициента.

English

In this article, 5 real sector enterprises operating in Uzbekistan were taken as the object of research, i.e. “Kvarts” JSC (KVTS), “Kizilqumsement” JSC (QZSM), “Kokon Mechanical Plant”JSC (KUMZ), “Uzbekistan Metallurgical Combine” JSC (UZMK), “Almalik Mine-Metallurgical Combine” JSC (AGMK) were obtained. During the analysis, the activity of joint stock companies in the stock market and stock index data from 2017 to 2024 were taken. In order to avoid reducing the level of accuracy of the research due to sudden changes during the pandemic, the research period was divided into pre-pandemic, pandemic, and post-pandemic periods. The Sortino coefficient was used to assess the financial risks of the investment portfolio, and the advantages and disadvantages of using this coefficient were analyzed.

№ Author name position Name of organisation
1 Tursunodjayeva S.Z. -- Toshkent Davlat iqtisodiyot universiteti
№ Name of reference
1 Chaudhry A., Johnson H.L. (2008). The efficacy of the Sortino ratio and other benchmarked performance measures under skewed return distributions. Aust. J. Manag. 32, Special Issue.
2 Corbet S, Larkin C, Lucey B (2020) The contagion effects of the COVID-19 pandemic: evidence from gold and cryptocurrencies. Finance Res Lett 35:1–7. https://doi.org/10.1016/j.frl.2020.101554
3 Dhingra, V., Sharma, A. & Gupta, S.K. (2023) Sectoral portfolio optimization by judicious selection of financial ratios via PCA. Optim Eng . https://doi.org/10.1007/s11081-023-09849-1
4 Elbasha, E.H. (2022) Cost-Effectiveness Risk-Aversion Curves: Comparison of Risk-Adjusted Performance Measures and Expected-Utility Approaches. PharmacoEconomics 40, 497–507. https://doi.org/10.1007/s40273-021-01123-5
5 Hasnaoui JA, Rizvi SKA, Reddy K et al (2021) Human capital effciency, performance, market, and volatility timing of Asian equity funds during COVID-19 outbreak. J Asset Manage 22:360–375. https:// doi.org/10.1057/s41260-021-00228-y
6 Hodoshima J. (2021) Evaluation of performance of stock and real estate investment trust markets in Japan. Empirical Economics 61:101–120 https://doi.org/10.1007/s00181-020-01869- 5
7 Sharif A, Aloui C, Yarovaya L (2020) COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: fresh evidence from the waveletbased approach. Int Rev Financial Anal 70:1–10. https://doi.org/10.1016/j.irfa.2020.101496
8 Shehzad K, Xiaoxing L, Kazouz H (2020) COVID-19’s disasters are perilous than Global Financial Crisis: A rumor or fact? Finance Res Lett 36:1–8. https://doi.org/10.1016/j.frl.2020.101669
9 Sortino F.A. Price, L.N. (1994): Performance measurement in a downside risk framework. J. Invest. 3(3), 59–64
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