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Record W2997053443

Working Capital Investment: A Comparative Study – Canada Versus the United States

2019· article· en· W2997053443 on OpenAlexaboutno aff
Abdul‐Rahman Khokhar

Bibliographic record

VenueMultinational Finance Journal · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWorking Capital and Financial Performance
Canadian institutionsnot available
Fundersnot available
KeywordsWorking capitalInvestment (military)BusinessFixed investmentCapital (architecture)Monetary economicsCash conversion cycleLabour economicsEconomicsCashFinanceFinancial capitalCapital formationMarket economyHuman capitalOperating cash flow
DOInot available

Abstract

fetched live from OpenAlex

This study empirically compares the working capital investment of industrial firms and finds that Canadian firms invest less in working capital than their U.S. counterparts. Matched samples of 8, 628 firm-year observations each from Canada and the U.S. are utilized covering the period 1988 to 2016. Compared to their U.S. counterparts, Canadian firms have a significantly lower cash conversion cycle, non-cash working capital to asset ratio and non-cash working capital to sales ratio. The difference in working capital investment is robust to variety of firm, industry and country controls as well as to year and industry fixed effects. The study also investigates the determinants of the lower investment in working capital by Canadian firms and finds that working capital investment is negatively moderated by short-term interest rates and positively associated with international operations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.028
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.012
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.234
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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
Published2019
Admission routes1
Has abstractyes

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