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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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KREDIT RISKI

Authors: Rustamov Maqsud Suvonqulovich; Nоrmаtоv Muslimbеk Nо'rbо'tа о'g'li;
Abstract

Аnnоtаtsiyа. Ushbu maqolada tijorat banklari faoliyatida kredit riskining mohiyati, tasnifi, yuzaga kelish sabablari hamda uni baholash usullari kompleks tarzda o'rganilgan. Kredit riskining asosiy turlari ko'rib chiqilib, unga ta'sir etuvchi makroiqtisodiy va mikroiqtisodiy omillar tahlil qilingan. Amaliy qism sifatida to'liq ehtimollik formulasi va Bayes formulasidan foydalanib, kreditning qaytarilmaslik ehtimoli miqdoriy jihatdan hisoblab ko'rsatilgan — xususan, davlat tashkilotlari, banklar va yuridik shaxslar tomonidan kreditni qaytarmaslik ehtimollari aniqlangаn. Kredit riskini o'lchashda giring koeffitsiyentining roli va uning moliyaviy barqarorlikka ta'siri yoritilgan. Bundan tashqari, kredit riskini tahlil qilishda moliyaviy hisobot ko'rsatkichlari — rentabellik, likvidlik, moliyaviy liveridj va foizlar qoplamasi koeffitsiyentlari — asosiy vositalar sifatida ko'rib chiqilgan. Maqola bank amaliyotida kredit riskini aniqlash, baholash va boshqarish tizimini takomillashtirishga xizmat qiladi. Kalit so‘zlar: moliyaviy risk, kredit riski, to'liq ehtimollik formulasi, Bayes formulasi, giring koeffitsiyenti, foizlar qoplamasi, moliyaviy tahlil, likvidlik, tijorat banki. Аннотация. В данной статье всесторонне исследуются природа, классификация и причины кредитного риска в деятельности коммерческих банков, а также методы его оценки. Рассматриваются основные виды кредитного риска и анализируются макроэкономические и микроэкономические факторы, влияющие на него. В качестве практической части количественно рассчитывается вероятность невозврата кредита с использованием формулы полной вероятности и формулы Байеса – в частности, определяются вероятности невозврата кредита государственными организациями, банками и юридическими лицами. Подчеркивается роль ключевого коэффициента в измерении кредитного риска и его влияние на финансовую стабильность. Кроме того, в качестве основных инструментов анализа кредитного риска рассматриваются показатели финансовой отчетности – рентабельность, ликвидность, финансовый рычаг и коэффициент покрытия процентных платежей. Статья служит для совершенствования системы выявления, оценки и управления кредитным риском в банковской практике. Ключевые слова: финансовый риск, кредитный риск, формула полной вероятности, формула Байеса, взвешенный коэффициент, покрытие процентных платежей, финансовый анализ, ликвидность, коммерческий банк. Abstract. This article comprehensively studies the nature, classification, causes of credit risk in the activities of commercial banks, and methods for its assessment. The main types of credit risk are considered, and the macroeconomic and microeconomic factors affecting it are analyzed. As a practical part, the probability of non-repayment of a loan is calculated quantitatively using the full probability formula and the Bayes formula - in particular, the probabilities of non-repayment of a loan by state organizations, banks and legal entities are determined. The role of the key coefficient in measuring credit risk and its impact on financial stability are highlighted. In addition, financial reporting indicators - profitability, liquidity, financial leverage and interest coverage ratios - are considered as the main tools in analyzing credit risk. The article serves to improve the system for identifying, assessing and managing credit risk in banking practice. Key words: financial risk, credit risk, full probability formula, Bayes formula, weighted coefficient, interest coverage, financial analysis, liquidity, commercial bank.

Keywords

Kalit so'zlar: moliyaviy risk, kredit riski, to'liq ehtimollik formulasi, Bayes formulasi, giring koeffitsiyenti, foizlar qoplamasi, moliyaviy tahlil, likvidlik, tijorat banki.

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average