Resolution of Small and Medium‐Sized Deposit‐Taking Institutions: Back to Basics?
Bibliographic record
Abstract
Following the 2008 Great Financial Crisis, financial policy makers have refocused their attention on bank resolution, prompting the creation of new resolution tools and regime reforms. As a result, the focus has mainly been on large, systemically important banks. Less attention has been paid to a broader range of financial institutions, namely small and medium deposit‐taking institutions. That tendency limits the applicability of these tools, which are imperfectly adapted to the unique issues faced by these smaller institutions. This article will assess both the successful applications and the limitations of resolution tools to small and medium deposit‐taking institution failures, focusing on three tools in particular: the bail‐in, the bridge bank, and purchase and assumption. In doing so, the benefits and challenges of each of these tools will be examined through the lens of recent resolution examples in the United States, Canada, and the European Union. This article also argues for the availability of public funds to achieve a successful resolution, taking the view that moral hazard concerns are overstated and that rigid bans of public funds are counterproductive to the goals of resolution. Lastly, this article seeks to develop a broad understanding of the systemic importance that accounts for the essential role of small and medium deposit‐taking institutions in their communities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".