{"id":"W3122658124","doi":"10.2139/ssrn.2607782","title":"Post-Earnings-Announcement Drift in Global Markets: Evidence from an Information Shock","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Post-earnings-announcement drift; Earnings; Shock (circulatory); Monetary economics; Business; Economics; Financial economics; Financial system; Accounting; Earnings response coefficient; Internal medicine; Medicine","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":[0.001117506,0.0002690176,0.000295315,0.0006812065,0.0003506421,0.001684522,0.0003405568,0.001422291,0.00394281],"category_scores_gemma":[0.008679587,0.0001558073,0.0002067268,0.001414509,0.0006224918,0.001361665,0.001121984,0.001128988,0.000587734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788258,"about_ca_system_score_gemma":0.0003501258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008421976,"about_ca_topic_score_gemma":0.007360078,"domain_scores_codex":[0.9997371,0.00005136378,0.00002352207,0.00003882722,0.00006061305,0.00008852769],"domain_scores_gemma":[0.990944,0.002883504,0.004556418,0.0004380828,0.0005512007,0.0006268626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002641445,0.0009231559,0.9554574,0.0001148501,0.0001512925,0.0008838595,0.001338654,0.00216751,0.001869745,0.002595081,0.005266698,0.02659032],"study_design_scores_gemma":[0.00004553081,0.0001861879,0.9957163,0.00001527869,0.00004660449,0.00006001212,0.000770851,0.0009156822,0.0002777466,0.0008870282,0.001062958,0.00001584668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973415,0.0001998751,0.0000637561,0.0005411028,0.00002258061,0.000006414431,0.0003781462,0.00001104822,0.001435604],"genre_scores_gemma":[0.9986157,0.0002294634,0.00002597329,0.000108084,0.00004335677,0.000002971389,0.00044666,0.000005326099,0.0005225101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008421976,"threshold_uncertainty_score":0.01674592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009409192007554234,"score_gpt":0.2321419906746479,"score_spread":0.2227327986670936,"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."}}