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Record W2036112641 · doi:10.1506/car.25.2.10

Management Turnover Following Auditor Resignations*

2008· article· en· W2036112641 on OpenAlexvenueno aff
Krishnagopal Menon, David D. Williams

Bibliographic record

VenueContemporary Accounting Research · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHoganRevelationAuditCitationManagementAccountingPolitical sciencePhilosophyLawEconomicsSociologyTheology

Abstract

fetched live from OpenAlex

An auditor's resignation from an engagement creates financial reporting uncertainties.Financial reporting uncertainties in turn potentially increase the cost of capital.If the directors hold managers responsible for the failure to satisfy auditors, we expect them to respond to the auditor's resignation by dismissing the responsible managers and finding more competent replacements.Replacing top managers also signals investors of the directors' intention to restore reporting credibility.A firm that changes auditors is required to file an 8-K report with the SEC indicating whether there has been an accounting or auditing disagreement between the auditor and the managers.The 8-K must note any "reportable event", that is, whether the auditor believes the client's internal control system is so weak as to generate unreliable financial statements (internal control reportable events), or the representations made by managers with respect to the financial statements are not credible, or the scope of the audit needs to be expanded (reliability reportable events).Whisenant, Sankaraguruswamy, and Raghunandan (2003) show that the market reacts adversely to the disclosure of accounting and auditing disagreements and reportable events.If directors view disagreements and reportable events to be evidence of poor managerial performance, we should observe a disproportionately high incidence of managerial turnover following their disclosure.We employ two control samples in this study.The first control sample consists of firms that do not experience an auditor resignation.The second control sample consists of firms that experience a client-initiated auditor change.We find that the frequency of CEO and CFO turnover increases following auditor resignations.The likelihood of a CEO or CFO change is even greater when there is a reportable event.Our paper makes several contributions.We add to the auditing literature by showing that auditor resignations result in higher management turnover, and resignations accompanied by disclosures of reportable events increase the likelihood of management turnover further.Our paper also contributes in providing evidence specifically on CFO turnover.Most other studies have only looked at CEO turnover or the turnover in top management as a group.It is useful to understand the penalties incurred by the CFO for poor performance related to accounting issues because the CFO generally has primary responsibility for financial reporting.Finally, we add to the literature on the consequences of financial reporting problems for managers.The extant evidence on this issue is mixed.Our study, using a larger sample than has been used previously, suggests that directors penalize managers for failing to satisfy auditors.The remainder of the paper is organized as follows.The next section discusses the link between auditor resignations and management turnover and develops the research questions tested in this paper.The third section presents the empirical analysis.The final section concludes the paper. Management turnover and auditor resignationsMany studies have documented an inverse relationship between CEO turnover and firm performance (Warner et al. 1988;

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)0.002
metaresearch head score (Gemma)0.015
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.046
GPT teacher head0.290
Teacher spread0.244 · 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

Citations85
Published2008
Admission routes1
Has abstractno

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