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Record W2947828780 · doi:10.1108/ijmf-05-2018-0133

Bankruptcy protection duration and outcome of Canadian public firms

2019· article· en· W2947828780 on OpenAlexaffabout
Mohamed Ayadi, Skander Lazrak, Xing Dan

Bibliographic record

VenueInternational Journal of Managerial Finance · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsBrock University
Fundersnot available
KeywordsBankruptcyCreditorRestructuringInsolvencyDuration (music)BusinessSafeguardFinanceActuarial scienceAccountingDebtEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to investigate the determinants of bankruptcy protection duration of Canadian public firms, and also investigate the duration for various bankruptcy outcomes including the liquidation and re-emergence of bankrupt firms. Design/methodology/approach This study uses data on all Canadian public firms that applied for bankruptcy protection over the period 1992–2014. The authors mainly apply duration and survival analyses to draw the main conclusions. Findings The authors find that larger and older firms with more complicated structures and issues to settle tend to remain under protection from creditors longer, and also ascertain that the fate of relatively successful companies is determined faster. Moreover, the authors report that it takes less time to achieve a final solution for firms under bankruptcy protection when interest rates are increasing and the term spread is high. Finally, firms that file for protection under the Companies’ Creditors Arrangement Act (CCAA) spend longer restructuring than firms that file under the Bankruptcy and Insolvency Act. Research limitations/implications The paper investigates only publicly listed firms. The data on private firms that are required to conduct the research are not available. Practical implications Various stakeholders including regulators can predict the bankruptcy protection period using the paper’s findings. Depending on the desired outcomes (reduce uncertainly, safeguard jobs or protect creditors’ rights), specific rules can be followed. Originality/value To the authors; knowledge, this is the first paper that investigates the Canadian bankruptcy protection duration. It uses the unique Canadian framework to infer the determinants of bankruptcy protection duration and bankrupt firms’ outcomes.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.216
Teacher spread0.189 · 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

Citations8
Published2019
Admission routes2
Has abstractyes

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