SUN’IY INTELLEKT ORQALI MOLIYAVIY RISKLARNI PROGNOZLASH IMKONIYATLARI: EKONOMETRIK TAHLIL VA EMPIRIK MODELLASHTIRISH
Ключевые слова:
inflyatsion jarayonlar, valyuta risklari, moliyaviy risklar, Random Forest, kredit defolti, inflyatsiya prognozi, mashinali o‘rganish, ekonometrik tahlil.Аннотация
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.
Библиографические ссылки
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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