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Record W6894134179 · doi:10.5281/zenodo.7634089

Financial Performance Analysis and Valuation Assessment of Pt Bumi Resources in Comparison with Pt. Adaro Energy Tbk. and Pt. Bukit Asam Tbk. For Period of 2017-3rd Quarter of 2022

2023· article· en· W6894134179 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsSolvencyValuation (finance)Quarter (Canadian coin)Economic Value AddedFinancial analysisFinancial ratioChristian ministryMarket value

Abstract

fetched live from OpenAlex

<strong>ABSTRACT: </strong>Indonesia is the third largest country in the world producing coal products. PT. Bumi Resource Tbk. (BUMI) is a coal industry company with the highest market capital, but its financial performance is not good when viewed from its net income in the 2017-3rd quarter of 2022. Financial ratio analysis is used to evaluate the company's financial performance. This analysis uses the provisions of the ministry No.KEP-100/MBU/2002 which is divided into 4 factors, namely profitability, liquidity, activity and solvency ratio. Economic Value Added (EVA) and FCFF valuation are the methods used in this research. For external analysis, researchers use PEST analysis. The researcher found that BUMI's financial performance was categorized as an unhealthy company based on its financial ratio analysis with an average rating of B. Based on the EVA method, BUMI's financial performance was considered not good considering that its value was always negative. From the FCFF valuation, the Intrinsic Value of BUMI is IDR 250.29 when the current price is IDR 147. So, the BUMI company is concluded to be undervalued.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.046
GPT teacher head0.288
Teacher spread0.242 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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