{"id":"W4387478903","doi":"10.2139/ssrn.4572759","title":"Do Hedge Funds Exploit Material Nonpublic Information? Evidence from Corporate Bankruptcies","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Hedge fund; Business; Portfolio; Exploit; Alternative beta; Finance; Asset (computer security); Institutional investor; Fund of funds; Global assets under management; Hedge accounting; Open-end fund; Financial system; Monetary economics; Economics; Corporate governance; Market liquidity","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":[0.004162111,0.0002947986,0.0005427374,0.001927543,0.0005143819,0.003181203,0.0007643288,0.002100791,0.005586602],"category_scores_gemma":[0.04247378,0.0003049039,0.0003110283,0.001516197,0.001643416,0.002321209,0.001137879,0.00106217,0.0008643318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004772746,"about_ca_system_score_gemma":0.0004219901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539406,"about_ca_topic_score_gemma":0.002161829,"domain_scores_codex":[0.9985024,0.0004171578,0.0001527499,0.0001546935,0.0005222674,0.0002507583],"domain_scores_gemma":[0.895443,0.05437111,0.03938055,0.005239086,0.003442108,0.002124181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00618015,0.001386842,0.8906116,0.0004187118,0.0006854591,0.001138466,0.002205341,0.0009326547,0.002219651,0.01068787,0.004073301,0.07946005],"study_design_scores_gemma":[0.0004627541,0.001068913,0.9734143,0.0002468462,0.0006022665,0.0007331529,0.002381027,0.001316034,0.002815855,0.008445454,0.008471225,0.00004218818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989938,0.001517372,0.0001776487,0.0009458592,0.00001386334,0.00001163873,0.0002646617,0.000007994997,0.007123037],"genre_scores_gemma":[0.9982829,0.0007906188,0.00004724187,0.000103345,0.00002981113,0.000003654534,0.0001934703,0.000002236394,0.0005465523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005586602,"threshold_uncertainty_score":0.02201164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427146083742042,"score_gpt":0.2381460620608384,"score_spread":0.1954314536866341,"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."}}