Abstract
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.
Original language | English |
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Journal | Finance Research Letters |
Early online date | 10 Jan 2015 |
DOIs | |
Publication status | Published - Jan 2015 |
Keywords
- Insolvency risk
- Z-score
- Probability
- Odds