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Record W2010213003 · doi:10.1108/mf-10-2013-0294

The structure of equity ownership: a survey of the evidence

2014· article· en· W2010213003 on OpenAlexaff
Nilanjan Basu

Bibliographic record

VenueManagerial Finance · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsConcordia University
Fundersnot available
KeywordsInsiderOriginalityEquity (law)BusinessValue (mathematics)AccountingPublic relationsPolitical scienceSociologyComputer scienceQualitative researchSocial science

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to review recent research on the structure of equity ownership and its impact on firm value. In doing so, the paper outlines the main issues, surveys the more recent work, and highlights the most promising developments on this topic. Design/methodology/approach – The paper is a survey – as such there is no relevant research design. Findings – The paper commences from multiple surveys done a decade ago that find that the evidence on this topic is inconclusive. Since then, researchers have developed several promising lines of inquiry. These approaches – specifically the new focus on the identity of the blockholders, multiple blockholder interactions, as well as the use of structural modeling, and the use of changes in insider ownership – hold some promise of being able to provide more definitive answers. Research limitations/implications – The paper suggests that current researchers focus on newer approaches to analyzing the structure of equity ownership. Specifically, for research on blockholder ownership, the identity of blockholders as well as the interaction between blockholders are promising approaches to this topic. For research on insider ownership, structural models that have become recently popular as well as an emphasis on changes rather than levels of insider ownership are promising avenues of inquiry. Originality/value – The paper summarizes the state of research on the structure of equity ownership and in doing so provides a quick introduction to a researcher new to this topic. In addition, the paper highlights the most promising areas of inquiry on this topic.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.430
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.039
GPT teacher head0.244
Teacher spread0.205 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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