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The Role of Supervisory Screens and Econometric Models in Off-Site Surveillance.

机译:监督屏幕与计量模型在非现场监测中的作用。

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摘要

Off-site surveillance involves using financial ratios to identify banks likely to develop safety-and-soundness problems. Bank supervisors use two tools to flag developing problems: supervisory screens and econometric models. Despite the statistical dominance of models, supervisors continue to rely heavily on screens. We use data from the 1980s and 1990s to compare, once again, the performance of the two approaches to off-site surveillance. Our study explicitly addresses supervisors' criticisms of econometric models. In particular, we offer a new econometric model - one designed to forecast downgrades in supervisory ratings - that is more forward-looking than existing models. As in earlier comparisons, econometric models consistently outperform supervisory screens for our sample. These results do not, however, suggest that screens should be dropped from the surveillance toolbox. When abrupt changes in the causes of bank failures and CAMEL downgrades occur, supervisors can modify their screens long before models can be revised to reflect the new conditions. We conclude that both screens and models add value in off-site surveillance, but that supervisors should rely more heavily on econometric models in the future than they have in the past.
机译:非现场监测涉及使用财务比率来识别可能发展安全性和健全问题的银行。银行主管使用两种工具来销售问题:监督屏幕和计量计量模型。尽管模型的统计统治,监事仍然依赖屏幕。我们使用20世纪80年代和1990年代的数据再次进行比较这两种方法对场外监视的方法。我们的研究明确地解决了对经济学模型的监督批评。特别是,我们提供了一个新的计量模型 - 一个旨在预测监督额定值的降级 - 这比现有模型更加前瞻性。如在早期的比较中,计量计量模型始终如一地占我们的样本的监督屏幕。然而,这些结果没有表明屏幕应从监控工具箱掉落。当外部故障和骆驼降级的原因发生突然发生变化时,主管可以在修改模型以反映新条件之前长时间修改其屏幕。我们得出结论,屏幕和模型都在非现场监视中增加了价值,但该监事应该在未来依赖于经济学模型,而不是过去。

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