SUN’IY INTELLEKT ORQALI MOLIYAVIY RISKLARNI PROGNOZLASH IMKONIYATLARI: EKONOMETRIK TAHLIL VA EMPIRIK MODELLASHTIRISH

Mualliflar

  • Rizoyev Farrux Hikmatilloyevich Bank-moliya akademiyasi mustaqil izlanuvchisi (PhD) “NKMK” AJ Shimoliy KB byudjetlashtirish va kontrolling bo‘limi 1-toifali iqtisodchi Muallif

;

inflyatsion jarayonlar, valyuta risklari, moliyaviy risklar, Random Forest, kredit defolti, inflyatsiya prognozi, mashinali o‘rganish, ekonometrik tahlil.

Abstrak

Sun’iy intellekt texnologiyalarining moliyaviy risklarni prognozlashdagi imkoniyatlari iqtisodiyot nazariyasi, ekonometrik modellashtirish va empirik tahlil nuqtai nazaridan tizimli ravishda o‘rganiladi. Mashinali o‘rganish algoritmlari – xususan, “Random Forest” modeli – asosida korxonalarning to‘lov qobiliyati, kredit defolti va likvidlik risklarini bashorat qilish samaradorligi baholanadi. Shuningdek, O‘zbekiston iqtisodiyoti sharoiti uchun amaliy tavsiyalar ishlab chiqilgan.

Iqtiboslar

Natarajan A.K., et al. Data Analytics and AI for Quantitative Risk Assessment and Financial Computation. – Hershey : IGI Global, 2025. – 640 p.

Goodell J.W., et al. Interpretable AI for financial risk perception: A machine learning approach to corporate crisis prediction // Finance Research Letters. – 2026. – Vol. 89. – P. 109317.

Kuralova A.G. Korxonalarda raqamli texnologiyalar yordamida moliyaviy risklarni boshqarish // ILIM jurnali. – 2025. – Vol. 7, №1. – B. 785-789.

Wang J., et al. BiLSTM-FRP: Enterprise financial risk prediction and intelligent early warning model based on deep learning // Discover Artificial Intelligence. – 2025. – Vol. 5. – Article 227.

Yusifli V. The impact of technology on financial markets: Trends, challenges, and opportunities // Azerbaijan University of Economics Scientific Journal. – 2024. – DOI: 10.30546/s8nx0s54.

Li H., et al. CatBoost model and artificial intelligence techniques for corporate failure prediction // Technological Forecasting and Social Change. – 2021. – Vol. 166. – P. 120658.

Goodell J.W., et al. Interpretable AI for financial risk perception: A machine learning approach to corporate crisis prediction // Finance Research Letters. – 2026. – Vol. 89. – P. 109317. (1-bo‘lim)

Gelos G. Using machine learning to monitor financial markets // BIS Speech. – 2025. – URL: https://www.bis.org/speeches/sp251118.htm

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Nashr qilingan

2026-05-08

Iqtibos keltirish tartibi

Rizoyev, F. (2026). SUN’IY INTELLEKT ORQALI MOLIYAVIY RISKLARNI PROGNOZLASH IMKONIYATLARI: EKONOMETRIK TAHLIL VA EMPIRIK MODELLASHTIRISH. Zamonaviy Dunyoda Ilm-Fan Va Texnologiya, 5(13), 188-191. https://www.in-academy.uz/index.php/ZDIFT/article/view/40366
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