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Record W2177737555 · doi:10.19030/jabr.v15i3.5668

War And Peace: The Reaction Of Defense Stocks

2011· article· en· W2177737555 on OpenAlex
Daniel M. Shapiro, Lorne N. Switzer, Dino P. N. Mastroianni

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 Applied Business Research (JABR) · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsConcordia UniversitySimon Fraser University
Fundersnot available
KeywordsCommitPortfolioEvent studyEconomicsSpanish Civil WarCapital (architecture)Monetary economicsBusinessFinancial economicsPolitical scienceLawHistory

Abstract

fetched live from OpenAlex

In this paper we examine the response of a portfolio of defense contractors to war- and peace-related events. An event-study methodology is employed, and GARCH estimates of abnormal returns suggest that on balance the defense portfolio responds positively to war-related announcements and negatively to peace-related announcements. A cross-sectional analysis of the abnormal returns to firms in the Gulf War indicates that larger abnormal returns are associated with R&D intensive firms in concentrated industries, while lower abnormal returns are associated with firms that commit to above-average levels of capital expenditures.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.139
GPT teacher head0.303
Teacher spread0.164 · 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