BANKLARARO LIKVIDLILIKNI BOSHQARISHDA SUN’IY INTELLEKT VA BIG DATA TEXNOLOGIYALARINI QO‘LLASH ISTIQBOLLARI

Nodirjon Baxromov

GREEN ECONOMY AND DEVELOPMENT, 2026, vol. 4, issue 6

Abstract: Tizimli raqamlashtirish va moliyaviy texnologiyalar (FinTech) transformatsiyasi sharoitidatijorat banklari likvidliligini ta’minlash mexanizmlari tubdan o‘zgarmoqda. Banklararo likvidlilik bozori (InterbankMarket) barqarorligini ta’minlashda sun’iy intellekt (AI) va katta ma’lumotlar (Big Data) texnologiyalariniqo‘llashning nazariy-uslubiy hamda empirik asoslari tahlil qilingan. An’anaviy chiziqli va retrospektiv tahlilmodellarining cheklovlari aniqlanib, likvidlilik oqimlarini prognozlashda mashinali o‘rganish (Machine Learning)algoritmlarining afzalliklari ekonometrik modellar asosida asoslab berilgan. Tadqiqot natijalariga tayangan holdabanklararo pul bozorida likvidlilik risklarini optimallashtirishga qaratilgan mualliflik tavsiyalari ishlab chiqilgan.

Keywords: bank tizimi; raqamlashtirish; banklararo likvidlilik; Big Data; sun’iy intellekt; mashinali o‘rganish; Random Forest; neyron tarmoqlar; LCR; NSFR; stress-testlash. (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:teu:ged000:v:4:y:2026:i:6:id:11059

DOI: 10.5281/zenodo.20719437

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