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Record W2912008214 · doi:10.1111/basr.12164

Does Ethical Reinforcement Pay? Evidence from the Canadian Mutual Fund Industry in the Post‐Financial Crisis Era

2019· article· en· W2912008214 on OpenAlexaffabout
K. Smimou, Mohamed Ayadi

Bibliographic record

VenueBusiness and Society Review · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Markets and Investment Strategies
Canadian institutionsBrock UniversityOntario Tech University
Fundersnot available
KeywordsFinancial crisisPerspective (graphical)BusinessReinforcementFinanceAccountingEconomicsPsychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract This study elucidates the link and effect of ethical reinforcement in the post‐financial crisis era by taking two congruent directions to demonstrate that ethical reinforcement can be accomplished by either a continuous ethical training or a meticulous code of business ethics—which members of the mutual fund industry claim they adhere to—as both have a positive effect on the funds’ performance, including sizeable gains to investors. Furthermore, evidence divulges that ethical reinforcement moderates the performance of ethical or socially responsible investments (SRI) funds more than nonethical investments, suggesting that a perspective of ethical or SRI classification of a fund alone is not sufficient , but it is necessary to have the institutional ethical environment and/or managers’ continuous ethical training. This result supports the notion of financial market discipline and reveals some factors behind SRI or ethical funds returns, notably during the period following the recent financial crisis.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.377
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.254
Teacher spread0.204 · 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 teacher head, 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

Citations4
Published2019
Admission routes2
Has abstractyes

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