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Record W3169803295 · doi:10.5267/j.ac.2021.5.007

Dividend policy on regional development banks in Indonesia

2021· article· en· W3169803295 on OpenAlex
Weni Susanti, Kamaludin Kamaludin, Rini Indriani, Fachruzzaman Fachruzzaman

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 · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDividendDividend payout ratioProfitability indexVariable (mathematics)Dividend policyVariablesSample (material)BusinessEconomicsFinancial systemMonetary economicsFinanceStatistics

Abstract

fetched live from OpenAlex

This study aims to analyze the variable confirmation between the dividend payout ratio variable with the profitability variable and the lagged dividend variable by looking at the role of the share ownership variable as a dummy mediate variable. The research subject was carried out at the Regional Development Bank (BPD) in Indonesia. This study uses data and samples taken from data issued by the OJK (Financial Services Authority). Regional development banks were chosen because they have a different role in determining their dividend policy compared to other types of banks, but although this bank is different in its dividend distribution process, it is still capable of surviving even in times of crisis (Covid-19). By using OLS regression analysis, this study divides the research sample into a dummy group consisting of share ownership variables, these subsections are things that must be considered because they can be the key to why this type of bank is able to survive when other banks start to rush. goofy in giving dividends.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.215
Teacher spread0.193 · 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