{"id":"W2189910180","doi":"10.6082/27znj-3ah15","title":"Conditional Market Exposures of the Value Premium","year":2016,"lang":"en","type":"article","venue":"Knowledge@UChicago (University of Chicago)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Value premium; Economics; BETA (programming language); Financial economics; Equity (law); Market value; Econometrics; Value (mathematics); Cash flow; Capital asset pricing model; Risk premium; Equity premium puzzle; Excess return; Monetary economics; Mathematics; Statistics; Finance","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":[0.001215033,0.0002877048,0.0002926239,0.0009156635,0.0001477721,0.001703801,0.0003560671,0.000754776,0.01242363],"category_scores_gemma":[0.01158556,0.0001780089,0.0004241396,0.0004952283,0.000544186,0.002162534,0.000685655,0.001064002,0.0007130944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004142285,"about_ca_system_score_gemma":0.0001916295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008682837,"about_ca_topic_score_gemma":0.0006027995,"domain_scores_codex":[0.9996473,0.00005435256,0.00002737385,0.00009767911,0.00008969362,0.00008352961],"domain_scores_gemma":[0.9921698,0.003954378,0.002149305,0.0006864884,0.0004699863,0.0005699629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006054719,0.0005501021,0.7062222,0.0001526242,0.000518315,0.0008424282,0.0007155244,0.0214646,0.01930889,0.1497352,0.003046672,0.09683797],"study_design_scores_gemma":[0.00002884822,0.0002903421,0.874593,0.00003273498,0.0001613468,0.0006333599,0.0002881112,0.04055209,0.00331377,0.07843959,0.00160281,0.00006412427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780917,0.0001952525,0.00811214,0.0002009102,0.00001600367,0.00002566214,0.0003685243,0.0001321602,0.01285778],"genre_scores_gemma":[0.998784,0.00004130346,0.0001922311,0.00001395945,0.00001303718,0.000005328896,0.0001233292,0.000005876922,0.0008210347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242363,"threshold_uncertainty_score":0.04156119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630575866350569,"score_gpt":0.1802218603838056,"score_spread":0.1639161017202999,"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."}}