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Record W3124988582 · doi:10.5430/rwe.v12n2p178

The Impact of Working Capital Management on Solvency: Empirical Study From Listed Companies in Vietnam

2021· article· en· W3124988582 on OpenAlex
Dau Hoang Hung, Nguyen Viet Ha, Ha Thu Huyen, Tran Thị Thanh Nga

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch in World Economy · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWorking Capital and Financial Performance
Canadian institutionsnot available
Fundersnot available
KeywordsSolvencyStock exchangeWorking capitalBusinessIndex (typography)Solvency ratioVietnameseFinanceEconomics

Abstract

fetched live from OpenAlex

Working capital management has a great impact on the solvency of any business entity. This paper examines the impact of working capital management on the solvency of enterprises listed on the Vietnamese stock exchange. Data were collected from the financial statements of 395 enterprises listed on the Ho Chi Minh Stock Exchange and the Hanoi Vietnam Stock Exchange with a total of 1,580 observations in the period of 2015 - 2018. The study used Ordinary Least Square (OLS), Fixed Effect Model (FEM), and Random Effect Model (REM) to investigate the impact of some variables such as average collection period index, inventory conversion cycle index, and average payment period index on the solvency in both short and long terms. The empirical results showed that the average collection period and inventory cycle have a positive impact on short-term solvency and long-term solvency while the average payment period has the opposite impact.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
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 head0.109
GPT teacher head0.355
Teacher spread0.246 · 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