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Record W4234598200 · doi:10.52659/medikonis.v12i2.46

TOTAL ASET, RISIKO BISNIS, PERTUMBUHAN ASET DAN PROFITABILITAS TERHADAP HARGA SAHAM

2021· article· en· W4234598200 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedikonis · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsASTER
Fundersnot available
KeywordsStock exchangeProfitability indexNonprobability samplingBusinessPanel dataPopulationSample (material)EconometricsBusiness administrationEconomicsFinance

Abstract

fetched live from OpenAlex

ABSTRAK
 
 This study aims to analyze the effect of total assets, business risk, asset growth and profitability on stock prices. The research method used is descriptive and verification methods. The population in this study is the Mining sector, Crude Oil and Gas Sub-Sector and Coal Sub-Sector listed on the Indonesia Stock Exchange for the 2015-2018 period as many as 35 companies. Determination of the sample in this study using purposive sampling method. The number of samples in this study were 33 companies with a total of 132 company financial reports. The data analysis technique used panel data regression, coefficient of determination and hypothesis testing. The results of the study found that total assets, asset growth and profitability had a positive and significant effect on stock prices. Meanwhile, business risk has a negative and significant effect on 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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score1.000

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)0.0010.000

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 head0.012
GPT teacher head0.194
Teacher spread0.182 · 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