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Record W4312893824 · doi:10.1561/114.00000030

Asset Market Equilibrium and Family Firm Cost of Capital: Implications for Corporate Finance

2022· article· en· W4312893824 on OpenAlexaff
Carlton Osakwe, Jess H. Chua, James J. Chrisman

Bibliographic record

VenueReview of Corporate Finance · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsUniversity of CalgaryMount Royal University
Fundersnot available
KeywordsBusinessAsset (computer security)Corporate financeCost of capitalEconomicsCapital (architecture)Monetary economicsFinancial economicsFinanceFinancial systemMicroeconomics

Abstract

fetched live from OpenAlex

Family firms are different from nonfamily firms because the combination of family ownership, family control, and family management leads to certain distinctive structural effects. These effects, along with the demonstrated importance of family firms in the global economy, have the potential to affect asset market equilibrium and the cost of capital for both family and nonfamily firms. We propose an equilibrium model that incorporates the key features characterizing family firms – receipt of nonpecuniary socioemotional benefits, holding a nontraded and non-diversified control block, and information asymmetry between the family and other investors. The resulting information and competitive equilibrium model shows that the costs of capital for family and nonfamily firms operating inside the same economy are different. These differences yield important implications for corporate finance in terms of investment and financing at the macro level.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.049
GPT teacher head0.254
Teacher spread0.205 · 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 designTheoretical or conceptual
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

Citations7
Published2022
Admission routes1
Has abstractyes

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