Observation:
2013: 6.96500 (+ more) Updated: Oct 2, 2015 1:10 PM CDT2013: | 6.96500 | |
2012: | 9.30399 | |
2011: | 8.63263 | |
2010: | 8.29618 | |
2009: | 36.90585 |
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 Bangladesh | 2012-09-24 | 2022-08-04 |
Source | ||
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World Bank | 2012-09-24 | 2022-08-04 |
Release | ||
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Global Financial Development | 2012-09-24 | 2022-08-04 |
Units | ||
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Z-score | 2012-09-24 | 2022-08-04 |
Frequency | ||
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Annual | 2012-09-24 | 2022-08-04 |
Seasonal Adjustment | ||
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Not Seasonally Adjusted | 2012-09-24 | 2022-08-04 |
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 | 2022-08-04 |