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A nonparametric urn-based approach to interacting failing systems with an application to credit risk modeling

机译:一种基于非的基于n的方法,用于将故障系统与信用风险建模的应用程序进行交互

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In this paper we propose a new nonparametric approach to interacting failing systems (FS), that is systems whose probability of failure is not negligible in a fixed time horizon, a typical example being firms and financial bonds. The main purpose when studying a FS is to calculate the probability of default and the distribution of the number of failures that may occur during the observation period. A model used to study a failing system is defined default model. In particular, we present a general recursive model constructed by the means of interacting urns. After introducing the theoretical model and its properties we show a first application to credit risk modeling, showing how to assess the idiosyncratic probability of default of an obligor and the joint probability of failure of a set of obligors in a portfolio of risks, that are divided into reliability classes.
机译:在本文中,我们提出了一种新的非参数方法来交互失效系统(FS),即在固定时间范围内失效概率不可忽略的系统,典型示例是企业和金融债券。研究FS的主要目的是计算违约概率和观察期内可能发生的故障数量的分布。用于研究故障系统的模型定义为默认模型。特别是,我们提出了一种通过相互作用的骨灰盒构造的通用递归模型。在介绍了理论模型及其性质之后,我们展示了在信用风险建模中的第一个应用,展示了如何评估债务组合中债务人的违约概率和一组债务人的联合失败概率分为可靠性等级。

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