Home > Releases > Global Financial Development > Bank Z-Score for Turkmenistan
Observation:
2019: 40.62386 (+ more) Updated: Aug 4, 2022 9:48 AM CDT2019: | 40.62386 | |
2018: | 37.17676 | |
2017: | 36.26733 | |
2016: | 38.73880 | |
2015: | 43.35146 |
Units:
Z-score,Frequency:
AnnualData in this graph are copyrighted. Please review the copyright information in the series notes before sharing.
Title | Release Dates | |
|
||
Bank Z-Score for Turkmenistan | 2012-09-24 | 2022-08-04 |
Source | ||
|
||
World Bank | 2012-09-24 | 2022-08-04 |
Release | ||
|
||
Global Financial Development | 2012-09-24 | 2022-08-04 |
Units | ||
|
||
Z-score | 2012-09-24 | 2022-08-04 |
Frequency | ||
|
||
Annual | 2012-09-24 | 2022-08-04 |
Seasonal Adjustment | ||
|
||
Not Seasonally Adjusted | 2012-09-24 | 2022-08-04 |
Notes | ||
|
||
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 |