MétaCan
Menu
Back to cohort
Record W2890292351 · doi:10.1111/irfi.12229

Managerial Stock Ownership and Debt Diversification

2018· article· en· W2890292351 on OpenAlex
Nemiraja Jadiyappa, Namrata Saikia, Bhavik Parikh

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

VenueInternational Review of Finance · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsDiversification (marketing strategy)DebtMoral hazardBusinessEquity (law)Monetary economicsAgency costPrincipal–agent problemInternal debtEmpirical evidenceFinancial economicsFinanceEconomicsCorporate governanceMicroeconomicsMarketingIncentiveShareholder

Abstract

fetched live from OpenAlex

Abstract In this study, we examine the impact of managerial behavior on the debt diversification decisions of firms using the agency cost of debt framework. We hypothesize that managers with higher equity ownership should favor debt diversification to avoid efficient monitoring by debt holders and thus, be able to engage in risk‐shifting behavior. Our empirical results provide strong evidence for a positive association between managerial ownership and debt diversification. This relationship is observed to be stronger for smaller firms, which are traditionally more susceptible to the moral hazard problem. Our results remain robust for an alternate measure of debt diversification.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.255
Teacher spread0.228 · 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