Bank regulation and risk in Europe and Central Asia since the global financial crisis
Bibliographic record
Abstract
This paper examines changes in bank capital and capital regulations since the global financial crisis, in the Europe and Central Asia region. It shows that banks in Europe and Central Asia are better capitalized, as measured by regulatory capital ratios, than they were prior to the crisis. However, the increase in simple equity ratios for the same banks has been smaller over the past 10 years. The increases in regulatory capital ratios have coincided with a reduction in the stringency of the definition of Tier 1 capital and reduction in risk-weights. We further analyze the relationship between bank capital and bank risk using individual bank data. We show that bank risk in Europe and Central Asia is more sensitive to changes in simple leverage ratios than changes in regulatory capital ratios, consistent with the notion that equity ratios only include high-quality capital and do not rely on internal risk models to compute risk-weights. Although there has been some effort to increase capital and liquidity requirements for institutions deemed systemically important, the region has been lagging in addressing the resolution of these institutions. In line with Demirguc-Kunt, Detragiache, and Merrouche (2013), our findings show the importance of the definition of bank capital to assure bank financial stability in Europe and Central Asia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".