النماذج الهيكلية للكشف عن مخاطر التخلف عن السداد

dc.contributor.authorبوشوشة، لميس
dc.date.accessioned2026-04-30T13:50:53Z
dc.date.issued2025-12-25
dc.descriptionمقال
dc.description.abstractThrough this study, we aim to analyze the basic characteristics of four basic models in measuring default risk and predicting the probability of risk. The most important models were selected from famous companies: Merton model, kmv model, Credit metrics model, Creditrisk+ model, by addressing the various theoretical frameworks on which each model is based The kmv model has also been applied to companies listed on the Dubai Stock Exchange that are active in various sectors based on the analytical approach. The study reached a set of results as follows: Structural models are considered the winning card for institutions today, as they allow accurate risk hedging ratios, the ability and effectiveness of the kmv model in detecting default risks and helping managers take appropriate and timely corrective measures, as it fulfills its basic assumption within Dubai Stock Exchange in predicting the probability of two companies under study defaulting
dc.identifier.citationبوشوشة، لميس. النماذج الهيكلية للكشف عن مخاطر التخلف عن السداد. مجلة الدراسات الإقتصادية والمالية. مج18. ع01. 25 ديسمبر 2025. كلية العلوم الإقتصادية والتجارية وعلوم التسيير. جامعة الوادي.
dc.identifier.issn1112-7961
dc.identifier.urihttps://archives.univ-eloued.dz/handle/123456789/41953
dc.language.isoar
dc.publisherUniversity of Eloued جامعة الوادي
dc.subjectالنماذج الهيكلية
dc.subjectنموذج Merton
dc.subjectنموذج kmv
dc.subjectنموذج Credit metrics
dc.subjectنموذج Creditrisk+
dc.subjectStructural models
dc.subjectMerton model
dc.subjectkmv model
dc.subjectCredit metrics model
dc.subjectCreditrisk+ mode
dc.titleالنماذج الهيكلية للكشف عن مخاطر التخلف عن السداد
dc.title.alternativeStructural models for detecting default risk: an applied study of the Kmv model within the Dubai Stock Exchange
dc.typeArticle

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