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Record W4220710374 · doi:10.1108/maj-03-2021-3048

Auditee’s payout policies: does audit quality matter?

2022· article· en· W4220710374 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueManagerial Auditing Journal · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsSaint Mary's UniversityUniversity of New Brunswick
Fundersnot available
KeywordsJoint auditAuditAccountingBusinessQuality auditCorporate governanceInformation asymmetryActuarial scienceFinanceInternal audit

Abstract

fetched live from OpenAlex

Purpose This study aims to explore whether an auditee’s audit quality influences its payout policies (i.e. each form of dividend payouts and stock repurchase payouts). Design/methodology/approach Based on a panel data of US public firms, from 2004 to 2018, and Tobit estimators, this study aims to examine whether auditees’ audit quality is related to their payouts and under which circumstances (from the standpoints of auditees’ information asymmetry, refinancing risk, corporate governance and financial constraints) the aforesaid associations are more pronounced. Findings The findings of this study imply that auditees’ audit quality is positively related to auditees’ payouts. Further examination suggests that this positive relationship is stronger for auditees with higher information asymmetry, lower financial constraints and refinancing risk and for those with weaker governance. Finally, this study documents that dividend payouts are more stable for auditees with high-quality audits than those with low-quality audits. The results support the view that auditees’ transparency (reflected in high-quality audits) could be a crucial driver and rationale for their payout policies and, ultimately, overall policies. Originality/value By combining two different research lines of audit quality and corporate payout policies, this paper adds to both literature, as it is a novel one to document the contributing function and impact of audit quality on auditee’s payout policies (tangible financial decisions and policies). The findings are significant considering that it documents high-quality audits affecting the auditees besides their financial reporting quality. This study also shows the moderating roles of the auditee’s information asymmetry, rollover risk, financial constraints and corporate governance in the relation between audit quality and an auditee’s payout decisions. Furthermore, the findings can help shareholders (aiding them in determining companies with high payout policies), regulators and policymakers who emphasize audit quality. The results indicate that policymakers’ and standard setters’ efforts fostering high-quality audits should be in conjunction with firm payout standards.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0240.002

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 head0.012
GPT teacher head0.237
Teacher spread0.224 · 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