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Doubly Stochastic Reduced Form Credit Risk Model and Default Probability Uncertainty – a Technical Toolkit

机译:双重随机简化表信用风险模型和违约概率不确定性–技术工具包

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Reduced form credit risk models provide a versatile platform tomodel credit risks and to quantify the interplay between the stochasticdimension of default probabilities and credit spread levels. Thisarticle gives a brief introduction to the required technical foundationsand discusses the approach to examine uncertainties regarding defaultprobabilities and credit spreads which has been established by [1]. Theintention of this article is to help academic researcher as well as practitionersto understand related research projects, to do new research onthis question or to improve credit risk models used in financial institutions.
机译:简化形式的信用风险模型提供了一个通用的平台来建模信用风险并量化违约概率的随机维数与信用利差水平之间的相互作用。本文简要介绍了所需的技术基础,并讨论了由[1]建立的检查违约概率和信用利差不确定性的方法。本文的目的是帮助学术研究人员和从业人员了解相关的研究项目,对此问题进行新的研究或改善金融机构中使用的信用风险模型。

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