Home > Releases > Global Financial Development > Bank Z-Score for Federated States of Micronesia
Observation:
2016: 21.34470 (+ more) Updated: Sep 21, 2018 11:23 AM CDT2016: | 21.34470 | |
2015: | 22.54700 | |
2014: | 21.96330 | |
2013: | 23.08710 | |
2012: | 27.62970 |
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 Federated States of Micronesia | 2012-09-24 | 2018-07-30 |
Source | ||
|
||
World Bank | 2012-09-24 | 2018-07-30 |
Release | ||
|
||
Global Financial Development | 2012-09-24 | 2018-07-30 |
Units | ||
|
||
Z-score | 2012-09-24 | 2018-07-30 |
Frequency | ||
|
||
Annual | 2012-09-24 | 2018-07-30 |
Seasonal Adjustment | ||
|
||
Not Seasonally Adjusted | 2012-09-24 | 2018-07-30 |
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 | 2018-07-30 |