Home > Releases > Global Financial Development > Bank Z-Score for Sierra Leone
Observation:
2019: 6.34202 (+ more) Updated: May 7, 2024 3:29 PM CDT2019: | 6.34202 | |
2018: | 4.79891 | |
2017: | 4.34474 | |
2016: | 2.73052 | |
2015: | 3.95763 |
Units:
Z-score,Frequency:
AnnualData in this graph are copyrighted. Please review the copyright information in the series notes before sharing.
Title | Release Dates | |
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Bank Z-Score for Sierra Leone | 2012-09-24 | 2024-04-23 |
Source | ||
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World Bank | 2012-09-24 | 2024-04-23 |
Release | ||
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Global Financial Development | 2012-09-24 | 2024-04-23 |
Units | ||
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Z-score | 2012-09-24 | 2024-04-23 |
Frequency | ||
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Annual | 2012-09-24 | 2024-04-23 |
Seasonal Adjustment | ||
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Not Seasonally Adjusted | 2012-09-24 | 2024-04-23 |
Notes | ||
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It captures the probability of default of a country's banking system, calculated as a weighted average of the z-scores of a country's individual banks (the weights are based on the individual banks' total assets). Z-score compares a bank's buffers (capitalization and returns) with the volatility of those returns. It captures the probability of default of a country's banking system, calculated as a weighted average of the z-scores of a country's individual banks (the weights are based on the individual banks' total assets). Z-score compares a bank's buffers (capitalization and returns) with the volatility of those returns. It is estimated as (ROA+(equity/assets))/sd(ROA); sd(ROA) is the standard deviation of ROA. (Calculated from underlying bank-by-bank unconsolidated data from Bankscope) Source Code: GFDD.SI.01 |
2012-09-24 | 2024-04-23 |