MétaCan
Menu
Back to cohort

Investor Reaction to Inter‐corporate Business Contracting: Evidence and Explanation

2006· article· en· W2150189097 on OpenAlexaff
Fayez A. Elayan, Kuntara Pukthuanthong, Richard Roll

Bibliographic record

VenueEconomic Notes · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsBrock University
Fundersnot available
KeywordsProfitability indexAbnormal returnVolatility (finance)EconomicsEconomic rentCurseStock (firearms)Financial economicsMonetary economicsBusinessFinanceMicroeconomicsStock exchange

Abstract

fetched live from OpenAlex

We examine the stock market reaction to 1227 inter‐corporate ordinary business contract announcements reported by Dow Jones between January 1, 1990 and December 31, 2001. Around contract announcement dates, we find statistically significant positive average abnormal returns and abnormal trading volume for contractors, but insignificant positive abnormal returns and negative abnormal volume for contractees. Cross‐sectionally, contract announcement period returns are higher for contractors who are small relative to the contract size, have higher return volatility, larger market‐to‐book ratios and higher profitability. The announcement period returns of contract‐awarding firms are not significant and are only marginally related to cross‐sectional explanatory factors. The results are consistent with two explanatory stories: contractor quasi‐rents induced by the winner's curse and information signalling about contractor production costs. The results are not consistent with perfect competition, with contracts having positive net present values for both parties, and with a version of incomplete contracting theory.

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)0.002
metaresearch head score (Gemma)0.013
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 score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.047
GPT teacher head0.222
Teacher spread0.175 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueEconomic NotesSame topicCorporate Finance and GovernanceFrench-language works237,207