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Record W3125448943 · doi:10.2308/accr.2010.85.3.817

Information and the Cost of Capital: An Ex Ante Perspective

2010· article· en· W3125448943 on OpenAlex

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

VenueThe Accounting Review · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Markets and Investment Strategies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCost of capitalEx-anteEconomicsCapital costMicroeconomicsOffset (computer science)Marginal cost of capital scheduleCapital (architecture)Framing (construction)IncentivePrivate information retrievalPhysical capitalBusinessMonetary economicsFinancial capitalCapital formationHuman capitalProfit (economics)MacroeconomicsComputer science

Abstract

fetched live from OpenAlex

ABSTRACT: Recent articles have demonstrated that increased public disclosure can decrease firms’ cost of capital. The focus has been on the impact of information on the cost of capital subsequent to the release of the information (the ex post cost of capital). We show that the reduction in the ex post cost of capital is offset by an equal increase in the cost of capital for the period leading up to the release of the information (the preposterior cost of capital). Thus, within the class of models framing the recent discussion, there is no impact on the ex ante cost of capital covering the full time span of the firm. The extent to which information is made publicly or privately available affects the timing of the resolution of uncertainty and when the information is reflected in equilibrium prices, but there is no impact on initial equilibrium prices. Within a noisy rational expectations equilibrium, rational investors may actually benefit from a higher ex post cost of capital.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score0.166

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.234
Teacher spread0.217 · 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