{"id":"W585210000","doi":"10.1016/j.sbspro.2015.03.221","title":"An Empirical Testing of Capital Asset Pricing Model in India","year":2015,"lang":"en","type":"article","venue":"Procedia - Social and Behavioral Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Econometrics; Equity (law); Economics; Regression analysis; Sample (material); Empirical research; Quarter (Canadian coin); Regression; Financial economics; Statistics; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003403457,0.000361692,0.0005370718,0.0007977096,0.0003609044,0.00141228,0.001399668,0.0006838154,0.001621042],"category_scores_gemma":[0.01249346,0.0001964975,0.0008061877,0.0008888067,0.0007787325,0.001218222,0.0007267614,0.001145323,0.0002352791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003634,"about_ca_system_score_gemma":0.001116047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02249074,"about_ca_topic_score_gemma":0.00694537,"domain_scores_codex":[0.9986748,0.0005985234,0.00007053577,0.0002041962,0.0001753815,0.0002767376],"domain_scores_gemma":[0.991454,0.005951748,0.0009931842,0.0006381519,0.0006918767,0.0002710889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009561135,0.00107022,0.558064,0.0004492735,0.000585545,0.003203329,0.002025166,0.3206262,0.003358172,0.04777371,0.007376012,0.05451219],"study_design_scores_gemma":[0.00005445417,0.0005500138,0.1662464,0.0000501506,0.0001452241,0.0005588718,0.001504186,0.8200042,0.001918761,0.007297661,0.001611816,0.00005832604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926657,0.0001588788,0.003721346,0.0003619227,0.00001439094,0.00001875262,0.0001602621,0.00007610609,0.002822509],"genre_scores_gemma":[0.9989768,0.0000605862,0.0005425641,0.00002272121,0.000007910582,0.000006111641,0.0001405023,0.000005000025,0.0002378075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02249074,"threshold_uncertainty_score":0.04471964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2487222243787259,"score_gpt":0.3553301445698787,"score_spread":0.1066079201911528,"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."}}