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

Jild 5 son 13 (2026): Zamonaviy dunyoda ilm-fan va texnologiya 188-191

DOI: 10.5281/zenodo.20096695 2026-05-08 Maqolalar Open Access

Mualliflar

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

Annotatsiya

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.

Kalit soʻzlar:

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

Yuklab olishlar

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://doi.org/10.5281/zenodo.20096695
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