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Record W6999501934

Criteria for a workable approach towards bank levies and bank restructuring : memo for the june 2010 meeting of the G-20 in Toronto

2010· report· en· W6999501934 on OpenAlexaboutno aff

Bibliographic record

VenuePublication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · 2010
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringWork (physics)PaymentCentral bank
DOInot available

Abstract

fetched live from OpenAlex

SUMMARY RECOMMENDATIONS 1. One of the major lessons from the current financial crisis refers to the systemic dimension of financial risk which had been almost completely neglected by bankers and supervisors in the pre-2007 years. 2. Accordingly, the most needed change in financial regulation, in order to avoid a repetition of such a crisis in the future, consists of influencing individual bank behaviour such that systemic risk is decreased. This objective is new and distinct from what Basle II was intended to achieve. 3. It is important, therefore, to evaluate proposed new regulatory instruments on the ground of whether or not they contribute to a reduction, or containment of systemic risk. We see two new regulatory measures of paramount importance: the introduction of a Systemic Risk Charge (SRC), and the implementation of a transparent bank resolution regime. Both measures complement each other, thus both have to be realized to be effective. 4. We propose a Systemic Risk Charge (SRC), a levy capturing the contribution of any individual bank to the overall systemic risk which is distinct from the institution’s own default risk. The SRC is set up such that the more systemic risk a bank contributes, the higher is the cost it has to bear. Therefore, the SRC serves to internalize the cost of systemic risk which, up to now, was borne by the taxpayer. 5. Major details of our SRC refer to the use of debt that may be converted into equity when systemic risk threatens the stability of the banking system. Also, the SRC raises some revenues for government. 6. The SRC has to be compared to several bank levies currently debated. The Financial Transaction Tax (FTT) does not directly address systemic risk and is therefore inferior to a SRC. Nevertheless, a FTT may offer the opportunity to subsidize on-exchange trading at the expense of off-exchange (over-the-counter, OTC) transactions, thereby enhancing financial market stability. The Financial Activity Tax (FAT) is similar to a VAT on financial services. It is the least adequate instrument among all instruments discussed above to limit systemic risk. 7. Bank resolution regime: No instrument to contain systemic risk can be effective unless the restructuring of bank debt, and the ensuing loss given default to creditors, is a real possibility. As the crisis has taught, bank restructuring is very difficult in light of contagion risk between major banks. We therefore need a regulatory procedure that allows winding down banks, even large banks, on short notice. Among other things, the procedure will require to distinguish systemically relevant exposures from those that are irrelevant. Only the former will be saved with government money, and it will then be the task of the supervisor to ensure a sufficient amount of nonsystemically relevant debt on the balance sheet of all banks. 8. Further issues discussed in this policy paper and its appendices refer to the necessity of a global level playing field, or the lack thereof, for these new regulatory measures; the convergence of our SRC proposal with what is expected to be long-term outcome of Basle III discussions; as well as the role of global imbalances.

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 imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.070
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.959
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.070
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0060.005
Science and technology studies0.0100.012
Scholarly communication0.0200.012
Open science0.0050.005
Research integrity0.0150.010
Insufficient payload (model declined to judge)0.0180.004

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.

Opus teacher head0.036
GPT teacher head0.266
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2010
Admission routes1
Has abstractno

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