Article ID Journal Published Year Pages File Type
5069588 Finance Research Letters 2015 11 Pages PDF
Abstract

•Re-examine link between Z-score measures and banks' probability of insolvency.•Improve on measure of that probability without further distributional assumptions.•Log of Z-score is shown to be negatively proportional to the log odds of insolvency.

We re-examine the probabilistic foundation of the link between Z-score measures and banks' probability of insolvency, offering an improved measure of that probability without imposing further distributional assumptions. While the traditional measure of the probability of insolvency thus provides a less effective upper bound of the probability of insolvency, it can be meaningfully reinterpreted as a measure capturing the odds of insolvency instead. We similarly obtain refined probabilistic interpretations of the commonly used simple and log-transformed Z-score measures; in particular, the log of the Z-score is shown to be negatively proportional to the log odds of insolvency.

Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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