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Record W2051133912 · doi:10.1108/02686900610674861

Auditing, integral approach to quarterly reporting, and cosmetic earnings management

2006· article· en· W2051133912 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueManagerial Auditing Journal · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEarnings managementEarningsAccountingBenford's lawAuditInterimBusinessQuarter (Canadian coin)Earnings response coefficientValue (mathematics)OriginalityFiscal yearEconomicsPsychologyFinancePolitical scienceSocial psychologyStatistics

Abstract

fetched live from OpenAlex

Purpose This study examines the effect of auditing and the integral approach to interim reporting on cosmetic earnings management, referred by Kinnunen and Koskela as earnings manipulative behavior to report earnings numbers to achieve key cognitive reference points represented by N ×10 k . Design/methodology/approach Using Benford's Law, the analysis employs 182,278 positive quarterly earnings observations and 103,470 negative quarterly observations for all publicly listed US companies from 1993 to 2003. Findings The empirical results show that firms tended to engage in cosmetic earnings management in each of the four fiscal quarters. More importantly, it was found that the degree of cosmetic earnings management is significantly less severe in the fourth fiscal quarter, which is the only quarter audited, than any of the previous quarters. This result suggests that the auditor plays an important role in reducing the cosmetic earnings manipulative behavior. Originality/value The findings of the study add more evidence to the ongoing debate about the effectiveness of auditing in preventing earnings management.

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.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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