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Record W3131637441 · doi:10.5267/j.ac.2021.1.016

The effect of financial policy and capital assets on firm performance: Evidence from service companies listed on the Amman Stock Exchange

2021· article· en· W3131637441 on OpenAlexvenueno aff
Mohammed Zakaria Soda, Yazan Oroud, Mohammed Hassan Makhlouf

Bibliographic record

VenueAccounting · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReturn on equityBusinessFinanceReturn on assetsStock exchangeAsset turnoverDebt service coverage ratioDebt ratioFixed assetWorking capitalAssets under managementDebt-to-equity ratioFinancial systemDebtEconomicsExternal debt

Abstract

fetched live from OpenAlex

This study aimed to demonstrate the impact of the financial policy, represented in debt policy and dividend policy, and the capital assets on the financial performance measured by return on equity, total assets turnover and market value added of 53 service companies listed on the Amman stock exchange during the period 2014–2018, using the panel data models. According to the results of testing performed on return on equities (ROE) model, total assets turnover (TAT) model, and market value added (MVA) model, it can be concluded that debt policy has a negative significant effect on market value added and total assets turnover, on the other hand, it has a negative insignificant effect on return on equity. The financial performance of the Jordanian service companies is influenced negatively by the debt ratio as a measure of financial policy; which means service companies are using heavy debt to finance the operating activities, which increases financial cost and the risk of financial failure. The study recommended that service companies can increase the volume of investment in fixed assets to generate high financial performance indicators.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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