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Record W3123238475 · doi:10.1111/jbfa.12367

Investment and financing decisions of private and public firms

2018· article· en· W3123238475 on OpenAlex
Wolfgang Drobetz, Malte Janzen, Iwan Meier

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Business Finance &amp Accounting · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsCash flowShareholderIncentiveMonetary economicsOperating cash flowBusinessFinanceFree cash flowAgency (philosophy)Cash managementAgency costStock (firearms)Investment (military)Principal–agent problemTobin's qEconomicsCorporate governanceMarket economy

Abstract

fetched live from OpenAlex

Abstract We examine differences in the allocation of cash flow between Western European private and public firms. Public firms have a higher investment‐cash flow sensitivity than comparable private firms. This difference is not attributable to more severe financing constraints of public firms. Instead, because differences in investment‐cash flow sensitivities are only observed for the unexpected portion of firms’ cash flow, the empirical evidence supports an agency‐based explanation. Similar patterns are observable for the expected and unexpected portion of firms’ shareholder distributions. Our results are driven by firms from countries with low ownership concentration and more liquid stock markets, where shareholders have lower incentives to monitor. The results are also more pronounced for public firms with low industry Tobin's q and high free cash flow, which are more prone to suffer from agency problems.

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)0.001
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 score0.128
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.031
GPT teacher head0.226
Teacher spread0.196 · 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