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Record W3124740409 · doi:10.5430/ijfr.v12n2p284

The Relative Importance of Financial Ratios in Making Investment and Credit Decisions in Jordan

2021· article· en· W3124740409 on OpenAlexvenueno aff
Mohammad Ahmad Alqam, Haitham Yousef Ali, Yaser Mohd Hamshari

Bibliographic record

VenueInternational Journal of Financial Research · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessProfitability indexFinancial ratioInvestment decisionsFinanceStock exchangeDebtInvestment (military)Market liquidityFinancial systemAccountingBehavioral economics

Abstract

fetched live from OpenAlex

This study has aimed to demonstrate the relative importance of financial analysis using ratios for each of lenders and investors in Jordan when making decision.Also; this study, included the financial ratios that could be adopted by decision makers in the industry (area) of lending or investment. The study included two categories; first is the category of financial intermediaries; to express the category of investors in Amman stock exchange (ASE), while the second category included employees of credit departments -in Jordanian banks- for the category of lenders.The collection of study data was based on a review of the subject's scientific literature, previous studies and by preparing a questionnaire that was designed on the basis of the theoretical framework of the study and its hypotheses.The objectives of financial analysis are to judge the efficiency of management and to use the information available to make various administrative decisions. The study found that financial ratios are used by data users when making decisions related to investment and lending. The results of the study also revealed the interest of lenders in debt and liquidity ratios, while investors' attention is focused on profitability and market ratios.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
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)0.0000.000

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 head0.054
GPT teacher head0.357
Teacher spread0.303 · 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.

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

Citations8
Published2021
Admission routes1
Has abstractyes

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