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Record W2582455725 · doi:10.5430/afr.v6n1p102

The Impact of Accounting Conservatism and Voluntary Disclosure on the Cost of Capital of Industrial Companies in Jordan

2017· article· en· W2582455725 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAccounting and Finance Research · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Financial Management
Canadian institutionsnot available
Fundersnot available
KeywordsLeverage (statistics)Sample (material)ConservatismVoluntary disclosureAccountingPanel dataBusinessCost of capitalTurnoverEconomicsEconometricsMicroeconomics

Abstract

fetched live from OpenAlex

This study aims at examining the impact of accounting conservatism and voluntary disclosure on the cost of capital of industrial companies in Jordan during the period (2009-2013). Panel OLS regression analysis was employed to test the hypotheses of the study. The results of the full sample model revealed that accounting conservatism and voluntary disclosure have significant negative impacts on the firms’ cost of capital.Furthermore, the results of the sub-samples which distinguish between large and small, as well as between high and low leverage firms showed that the sub-sample of large and small firms conforms to the full sample results. Across the sub-sample of high leverage firms, the results showed that only voluntary disclosure has a significant negative impact on the firm’s cost of capital. On the other hand, only accounting conservatism has a significant negative impact on the firm’s cost of capital across the sub-sample of low leverage 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.

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)0.003
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 score0.055
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.090
GPT teacher head0.320
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