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Record W3107381359

Effect of Company Performance on Inflation During the Beginning of the COVID 19 Pandemic (Empirical Study of Transportation Sector Companies Listed on the Indonesia Stock Exchange for the Period 2019-2020 (Quarter I)

2020· article· en· W3107381359 on OpenAlexaboutno aff
Nadillah Leica Sofianiswah, Ega Fitriana, Reska Rahmawati Sudia, Elya Choerun Nisa, Ignatius Oki Dewa Brata

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsnot available
Fundersnot available
KeywordsStock exchangeInflation (cosmology)Profitability indexQuarter (Canadian coin)Market liquidityEconomicsMonetary economicsCoronavirus disease 2019 (COVID-19)Investment (military)BusinessEconometricsFinanceMedicineGeography
DOInot available

Abstract

fetched live from OpenAlex

This study aims to empirically examine the effect of Company Performance on Inflation during the beginning of the Covid-19 pandemic. The independent variable in this study is Company Performance which consists of Profitability (Return on Investment) as X1 and Liquidity (Current Ratio) as X2. The dependent variable is Inflation as Y. This type of research takes all-time series data including Company Performance and Inflation for the period 2019-2020 (Quarter I). The number of research samples using saturated sampling techniques was obtained 32 samples. The data analysis used was the t-test (partial) using SPSS 25. The results showed that simultaneously the Return on Investment and Current ratio affected Inflation Tm it shows that the profitability ratio variable (Return on Investment) has a significant effect on inflation, the Liquidity ratio (Current Ratio) variable has no significant effect on inflation.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.279

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 communication0.0000.000
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 head0.039
GPT teacher head0.247
Teacher spread0.208 · 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
Published2020
Admission routes1
Has abstractyes

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