{"id":"W4306764954","doi":"10.3390/jrfm15100473","title":"The Methodology Matters: What Influences Market Reaction, and Post-Issue Returns in Seasoned Equity Offerings?","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Regression analysis; Equity (law); Economics; Principal component analysis; Profitability index; Regression; Stock (firearms); Linear regression; Cross-sectional regression; Multivariate statistics; Stock market; Bayesian multivariate linear regression; Statistics; Financial economics; Mathematics; Finance; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01968176,0.000285832,0.0005486335,0.0008708875,0.0003177077,0.002017628,0.0007330644,0.001075769,0.002599868],"category_scores_gemma":[0.05690345,0.0002322384,0.001079618,0.001576454,0.0006652409,0.001518611,0.0004937657,0.001058187,0.0007005181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004733943,"about_ca_system_score_gemma":0.001087846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008947696,"about_ca_topic_score_gemma":0.01096683,"domain_scores_codex":[0.9944939,0.00292623,0.0005267393,0.0008072006,0.0007407618,0.0005052132],"domain_scores_gemma":[0.8995301,0.05767128,0.03503842,0.0034239,0.002254152,0.002082246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002351245,0.0001408005,0.9900225,0.00003346774,0.0002143835,0.00006544047,0.0001973237,0.0002935615,0.000392599,0.0001670393,0.000668023,0.007569786],"study_design_scores_gemma":[0.00001333744,0.0001494097,0.9969211,0.00001847625,0.00009214929,0.00005253264,0.0001784782,0.001393778,0.0002792501,0.0001789485,0.0007136862,0.00000900366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925512,0.001063535,0.002559688,0.001214121,0.000126556,0.00006264658,0.0007957225,0.00003006613,0.001596549],"genre_scores_gemma":[0.9960897,0.0003119408,0.001109209,0.0003578429,0.0002931682,0.00004271945,0.000810803,0.0000385895,0.000946132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01968176,"threshold_uncertainty_score":0.1040883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03081395156638172,"score_gpt":0.2519681655934796,"score_spread":0.2211542140270979,"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."}}