{"id":"W3121451345","doi":"","title":"Institutional Trading Around M&A Announcements","year":2019,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hedge fund; Business; Quarter (Canadian coin); Equity (law); Institutional investor; Mutual fund; Monetary economics; Fund of funds; Mergers and acquisitions; Finance; Investment (military); Financial system; Economics; Corporate governance; Market liquidity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005866256,0.0001159659,0.0002006453,0.0008731397,0.0003804969,0.001602675,0.0002218195,0.0003882558,0.005873585],"category_scores_gemma":[0.006183635,0.00009519907,0.0001906339,0.0009131756,0.0002072288,0.0007096609,0.0007407583,0.0003665335,0.0009197798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005572665,"about_ca_system_score_gemma":0.0003122789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003560174,"about_ca_topic_score_gemma":0.005045251,"domain_scores_codex":[0.9995301,0.00007053702,0.00004544702,0.00006827756,0.0001539159,0.0001317413],"domain_scores_gemma":[0.9911817,0.001156598,0.006466167,0.0003454224,0.0003009642,0.0005490966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008731332,0.0002164326,0.9098865,0.00009104618,0.0001730442,0.001059468,0.0007459605,0.002527712,0.008070974,0.004277876,0.00573405,0.06634383],"study_design_scores_gemma":[0.00002003202,0.0001703676,0.9849505,0.00002181675,0.00005496974,0.0003096358,0.0008548062,0.002503173,0.002452193,0.001290103,0.007354052,0.00001821416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804974,0.0003617653,0.0006189871,0.0003384503,0.00002944531,0.00002034545,0.0006292677,0.00009860767,0.01740581],"genre_scores_gemma":[0.9983759,0.0001080687,0.0001411571,0.00003644059,0.00004781304,0.000004624713,0.0002992861,0.000005866402,0.0009808537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005873585,"threshold_uncertainty_score":0.01964915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2291496216350001,"score_gpt":0.4076295551896759,"score_spread":0.1784799335546757,"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."}}