{"id":"W2066908095","doi":"10.2139/ssrn.562942","title":"Corporate Investment and Asset Price Dynamics: Implications for SEO Event Studies and Long-Run Performance","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Event study; Financial economics; Asset (computer security); Event (particle physics); Economics; Business; Investment (military); Monetary economics; Econometrics; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777807,0.0003391448,0.0005750997,0.00101488,0.0004295556,0.004310837,0.0005982168,0.001397093,0.007179573],"category_scores_gemma":[0.01195837,0.0002476495,0.0003798992,0.002183407,0.0009934722,0.004710726,0.001092275,0.001756254,0.0004182433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006526962,"about_ca_system_score_gemma":0.0003256935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003743263,"about_ca_topic_score_gemma":0.005609249,"domain_scores_codex":[0.9997509,0.00009298168,0.00002150125,0.00004902609,0.00002931205,0.00005633674],"domain_scores_gemma":[0.9921205,0.00515192,0.001451363,0.0003036858,0.0003216614,0.0006508132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009001427,0.0007604242,0.7629049,0.000147687,0.00038982,0.001152753,0.002227418,0.02694297,0.002800959,0.1628565,0.003362634,0.0355539],"study_design_scores_gemma":[0.00004532856,0.0001819291,0.7836071,0.00005918079,0.0001137502,0.0002634343,0.00279572,0.08436117,0.0005304666,0.1249562,0.003026008,0.0000596172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769757,0.001520692,0.005025702,0.002621494,0.00004444278,0.00001507505,0.000392484,0.00002880881,0.01337563],"genre_scores_gemma":[0.9975355,0.0006196742,0.0002396763,0.00005504838,0.00007329091,0.00000529667,0.0001732089,0.000008751475,0.001289605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007179573,"threshold_uncertainty_score":0.02401811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133647102105608,"score_gpt":0.2448672346614221,"score_spread":0.223530763640366,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}