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Default probabilities of privately held firms

机译:私人公司的违约概率

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We estimate the term structures of the default probabilities for private firms using data consisting of 1759 default events from 29,894 firms between 1999 and 2014. Each firm's default likelihood is characterized by a forward intensity model employing macro risk factors and firm-specific attributes. As private firms do not have traded stock prices, we devise a methodology to obtain a public-firm equivalent distance-to-default by projection that references the distance-to-defaults of public firms with comparable attributes. The fitted model provides accurate multi-period forecasts of defaults, leading to both economically and statistically significant benefits over benchmark models. The reported interest rates charged to private firms are reflective of the estimated default term structure. (C) 2018 Elsevier B.V. All rights reserved.
机译:我们使用1999年至2014年期间来自29,894家公司的1759个违约事件组成的数据来估计私营公司违约概率的期限结构。每家公司的违约可能性均采用采用宏观风险因素和公司特定属性的正向强度模型来表征。由于私营公司没有交易股票价格,因此我们设计了一种方法,通过投影来获得公有公司的等效违约距离,该投影引用具有可比较属性的公共公司的违约距离。拟合模型可提供准确的多周期违约预测,从而带来比基准模型在经济和统计上均显着的收益。向私人公司收取的报告利率反映了估计的违约期限结构。 (C)2018 Elsevier B.V.保留所有权利。

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