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Record W4243000613 · doi:10.22215/rera.v12i1.1233

Economic Patriotism After the Crisis: Explaining Continuity and Change in European Securities Enforcement

2018· article· en· W4243000613 on OpenAlexaffvenue
Chase Foster

Bibliographic record

VenueReview of European and Russian Affairs · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsCarleton University
Fundersnot available
KeywordsFinancial crisisSanctionsFinancial regulationEnforcementFinancial systemFinancial marketBusinessEconomicsEconomic policyFinancePolitical science

Abstract

fetched live from OpenAlex

Since the global financial crisis, European governments have sought to intensify the supervision of financial markets. Yet, few studies have empirically examined whether regulatory approaches have systematically shifted in the aftermath of the crisis, and how these reforms have been mediated by longstanding national strategies to promote domestic financial interests in the European single market. Examining hundreds of enforcement actions in three key European jurisdictions, I find a mixed pattern of continuity and change in the aftermath of the crisis. In the UK, aggregate monetary penalties and criminal sanctions have skyrocketed since 2009, while in France and Germany, the enforcement pattern suggests continuity, with both countries assessing penalties and prosecuting insider trading at similar rates before and after the crisis. I conclude that financial regulation is still structured by longstanding industrial strategies (Story and Walter, 1997), but where pre-existing regulatory approaches were seen as contributing to the crisis, a broader regulatory overhaul has been pursued. Thus, in the UK, where the financial crisis served as a direct rebuke to the country’s “light touch” regulation, financial supervision was overhauled, and monetary sanctions dramatically increased, to preserve London’s status as an international financial centre. By contrast, in France and Germany, where domestic regulatory systems were implicated by the financial crisis, domestic securities supervision and enforcement was less dramatically altered. While the crisis has led to the further institutionalization of European-level supervisory institutions, these changes have not yet led to convergence in national regulatory approaches.

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)0.006
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0020.007
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.021
GPT teacher head0.238
Teacher spread0.217 · 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 designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2018
Admission routes2
Has abstractyes

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Same venueReview of European and Russian AffairsSame topicGlobal Financial Regulation and CrisesFrench-language works237,207