{"id":"W2554986798","doi":"10.1111/fima.12123","title":"Informed Trading in Corporate Bonds Prior to Earnings Announcements","year":2015,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bond; Issuer; Earnings; Corporate bond; Business; Monetary economics; Yield (engineering); Post-earnings-announcement drift; Bond market; Financial system; Financial economics; Accounting; Economics; Earnings response coefficient; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006973826,0.0002216548,0.0003859222,0.0005431635,0.00008833173,0.0001186038,0.0003074343,0.00007929952,0.00009540326],"category_scores_gemma":[0.0002360033,0.0002641174,0.00005308938,0.0007769981,0.00003742306,0.000442632,0.0001639058,0.000127139,0.00078382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367218,"about_ca_system_score_gemma":0.00008346664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280029,"about_ca_topic_score_gemma":0.0001426377,"domain_scores_codex":[0.9982088,0.00001123621,0.0007173467,0.0004445549,0.0000999923,0.0005180633],"domain_scores_gemma":[0.9991835,0.00001357388,0.0003346959,0.0002726999,0.00002984103,0.0001656994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000154293,0.0001658422,0.0783435,0.0001077339,0.00001844051,0.0000609563,0.001694948,0.0002488669,0.000004756937,0.8705213,0.04333344,0.005345902],"study_design_scores_gemma":[0.00132507,0.0003228496,0.3455265,0.00008466459,0.000003986431,6.809394e-7,0.0001933525,0.0002692141,0.00000675361,0.06413194,0.587735,0.0004000285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6283234,0.0002127122,0.001424065,0.000696065,0.0009843758,0.0009107532,0.00005532166,0.00007187945,0.3673215],"genre_scores_gemma":[0.9892313,0.0000990839,0.002669281,0.001596445,0.0001295563,0.0002053957,0.00003590894,0.00002734965,0.006005693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8063894,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06794113564465215,"score_gpt":0.2341346776595236,"score_spread":0.1661935420148715,"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."}}