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Record W2092191310 · doi:10.1108/17439130710721662

The perception of dividends by Canadian managers: new survey evidence

2007· article· en· W2092191310 on OpenAlexaffabout
H. Kent Baker, Samir Saadi, Shantanu Dutta, Devinder K. Gandhi

Bibliographic record

VenueInternational Journal of Managerial Finance · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsSt. Francis Xavier UniversityUniversity of Ottawa
Fundersnot available
KeywordsDividendDividend policyEarningsAgency costBusinessValue (mathematics)Stock exchangeAgency (philosophy)AccountingEconomicsFinancial economicsMonetary economicsFinanceCorporate governance

Abstract

fetched live from OpenAlex

Purpose The purpose of this research is to analyze survey results on the perception of dividends by managers of dividend‐paying firms listed on the Toronto Stock Exchange (TSX). Design/methodology/approach Managers from a sample of 291 dividend‐paying TSX‐listed Canadian firms were surveyed about their views on dividends. Findings The most important factors influencing dividend policy are the level of current and expected future earnings, the stability of earnings, and the pattern of past dividends. Despite dramatic differences in the level of ownership concentration between Canadian and US firms, their corresponding managers' views on the determinants of dividends are similar. Canadian managers believe that dividend policy affects firm value but express little agreement with the theory of a residual dividend policy. They express strong support for the signaling and lifecycle explanations for paying dividends, but not for the bird‐in‐the‐hand, tax‐preference and dividend clientele, agency cost, or catering explanations. Compared with non‐dividend payers, Canadian dividend‐paying firms are significantly larger and more profitable, have greater cash reserves and ownership concentration, and have fewer growth opportunities. Originality/value This study updates and expands previous survey‐based research on dividends and provides new evidence from managers of Canadian firms.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.027
GPT teacher head0.257
Teacher spread0.230 · 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 designNot applicable
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

Citations111
Published2007
Admission routes2
Has abstractyes

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