Liquidity in resolution: Comparing frameworks for liquidity provision across jurisdictions
Bibliographic record
Abstract
As a response to the global financial crisis that started in 2008, many countries established dedicated resolution regimes that seek to limit the use of taxpayer money while maintaining the functions of failing banks that are critical for financial stability. This paper extends the existing research by zooming in on the specific topic of liquidity provision to banks in resolution. It examines the provision of liquidity in the United States, the United Kingdom, Japan, Canada and the banking union of the European Union (thereafter: the "banking union"). The paper observes the differences and commonalities of policy choices across jurisdictions with regard to both the relationship between private prefunding and temporary public liquidity provision and the roles of the public budget and the central bank. The comparison also reveals that the role of fiscal authorities is strong and that guarantees from a public budget are a common feature. The framework for the provision of liquidity in the banking union is not yet complete as the construction of a public sector backstop of sufficient size and speed is comparatively more complex in the banking union than in other jurisdictions. Therefore, the idea of establishing a European-level guarantee framework - which would allow access to Eurosystem liquidity for banks coming out of resolution with limited collateral - is being further investigated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".