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Record W3012510830 · doi:10.29040/jiei.v6i1.674

Pengaruh DPS, EPS dan ROE Terhadap Harga Saham Syariah

2020· article· en· W3012510830 on OpenAlexfundno aff
Irton Irton

Bibliographic record

VenueJURNAL ILMIAH EKONOMI ISLAM · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsnot available
FundersYork University
KeywordsShare priceEarnings per shareStock exchangeDividendEconometricsEconomicsReturn on equityMulticollinearityDividend policyStock priceStock (firearms)Equity (law)Financial economicsRegression analysisMathematicsStatisticsFinance

Abstract

fetched live from OpenAlex

This objective of the study is to investigate effect of dividend per share (DPS) , earning per share (EPS), and return on equity (ROE) to syariah stock price in Indonesian Stock Exchange. The Hypothesis are tested applying single regression model, which stock price are regressed with dividend per share, earning per share, and return on equity. Stock price are independend variable and dividend per share, earning per share, and return on equity as a dependen variable. Stock price are measure using the valuation model, which average price from beginning and ending years for observation 2016-2018. The study uses the samples 109 syariah stock listed on the Indonesian Stock Exchange for observation period of 2016-2018. The classical test are developed to test Autocorellation test, multicollinearity test. The t-test and F-test used to hypothesis test. The result of this study supported the proposed hypothesis that show that hypothesis 1,2, are received and hypothesis 3 are rejected. This study show that dividend per share, earning per share, and return on equity have effect to syariah stock prices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.186
Teacher spread0.164 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2020
Admission routes1
Has abstractyes

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