MétaCan
Menu
Back to cohort
Record W2793544353 · doi:10.6000/1929-7092.2018.07.11

The Impact of Cash Flows and Weighted Average Cost of Capital to Enterprise Value in the Oil and Gas Sector

2018· article· en· W2793544353 on OpenAlexvenueno aff
Павел Жуков

Bibliographic record

VenueJournal of Reviews on Global Economics · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCapital Investment and Risk Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsValue (mathematics)Cash flowEconomicsCapital (architecture)BusinessMonetary economicsFossil fuelCashEconometricsFinancial economicsFinanceMathematicsStatisticsChemistry

Abstract

fetched live from OpenAlex

This paper investigates whether there is relationship between fluctuations of enterprise value or capitalization and related changes of WACC and cash flows. The study carried on the sample of some companies from the oil and gas sector, for the changes at intermediate term - from a quarter to three years. At the first stage the common model of discounting free cash flow on WACC was considered as the base model for research. The main conclusion was - intermediate term change s in the enterprise value are independent from changes of WACC. Dependence from changes in cash flows is either insignificant, except permanent growth rate for some growing companies. Finally it is concluded, that traditional WACC is not relevant discount rate for an assessment of enterprise value. At the second stage the alternative method for assessment of enterprise value was proposed, where cash flow is considered equal to expected value, which may grow with permanent growth rate. The method is based on stochastic cost of capital, similar to the generalized method of moments proposed by J. Cochrane, but different in conduction.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.261
Teacher spread0.239 · 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

Citations21
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Reviews on Global EconomicsSame topicCapital Investment and Risk AnalysisFrench-language works237,207