上市公司彭博公司违约风险模型(DRSK)

M. Bondioli, Martin Goldberg, Nan Hu, Chengrui Li, Olfa Maalaoui Chun, Harvey J. Stein
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引用次数: 7

摘要

DRSK公共模型估计了上市公司的前瞻性现实违约概率。该模型还根据估计的违约概率分配信用等级。该产品涵盖可获得必要数据的所有区域和业务部门的公司。DRSK公共模型最后一次更新是在2015年。今年我们发布了一款更新的机型,它在很多方面都提高了前一款机型的性能。新模型的准确率在92%以上,调整后的伪r平方有所提高,性能更符合观察到的历史违约率。我们描述了新模型,从各种方面分析了它的性能,并将其与以前的模型进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Bloomberg Corporate Default Risk Model (DRSK) for Public Firms
The DRSK public model estimates forward-looking real-world default probabilities for publicly traded firms. The model also assigns credit grades based on the estimated default probabilities. The product covers firms in all regions and sectors of operation for which the necessary data is available. The DRSK public model was last updated in 2015. This year we are releasing an updated model which improves on the previous model's performance in a variety of ways. The new model's accuracy ratio is above 92%, adjusted pseudo R-squareds have improved, and performance is more in line with observed historical default rates. We describe the new model, analyze its performance in various ways and compare it to the previous model.
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