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Statistical properties of the population stability index

机译:人口稳定性指数的统计特性

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摘要

The population stability index (PSI) is a widely used statistic that measures how much a variable has shifted over time. A high PSI may alert the business to a change in the characteristics of a population. This shift may require investigation and possibly a model update. PSI is commonly used among banks to measure the shift between model development data and current data. Banks may face additional risks if models are used without proper validation. The incorrect use of PSI may bring unexpected risks for these institutions. However, there are not many studies about the statistical properties of PSI. In practice, the following "rule of thumb" is used: PSI 0.10 means a "little change", 0.10 = PSI 0.25 means a "moderate change" and 0.25 = PSI means a "significant change, action required". These benchmarks are used without reference to statistical type I or type II error rates. This paper aims to fill the gap by providing statistical properties of the PSI and some recommendations on its use.
机译:人口稳定性指数(PSI)是一种广泛使用的统计数据,可以测量变量随时间转移的程度。高PSI可以提醒业务对人口特征的变化。此班次可能需要调查并可能是模型更新。 PSI通常用于银行之间以测量模型开发数据和当前数据之间的转变。如果在没有适当验证的情况下使用模型,银行可能会面临额外的风险。 PSI的使用不正确可能会为这些机构带来意外风险。然而,关于PSI的统计特性没有许多研究。在实践中,使用以下“拇指规则”:PSI <0.10表示“很小的变化”,0.10 <= PSI <0.25表示“中等变化”和0.25 <= PSI表示“需要的显着变化,操作”。这些基准用于统计类型I或II型错误率的情况下使用这些基准。本文旨在通过提供PSI的统计特性和有关其使用的一些建议来填补差距。

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