{"id":"W3105393844","doi":"","title":"Risk Adjusted Performances of Conventional and Islamic Indices","year":2019,"lang":"en","type":"article","venue":"MPRA Paper","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treynor ratio; Islam; Sharpe ratio; China; Index (typography); Closing (real estate); Economics; Stock market index; Stock (firearms); Geography; Econometrics; Statistics; Mathematics; Financial economics; Portfolio; Stock market; Finance; Computer science","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":[0.003509743,0.0005002383,0.0003120724,0.001995206,0.0001448323,0.001717806,0.0003167233,0.0003614827,0.001054063],"category_scores_gemma":[0.01135468,0.0001256895,0.0003728891,0.001490812,0.0003068559,0.00162503,0.0005301329,0.0004610795,0.0004001668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000370952,"about_ca_system_score_gemma":0.0002536401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000832,"about_ca_topic_score_gemma":0.0007089461,"domain_scores_codex":[0.9987362,0.0002131114,0.0001796462,0.0001922397,0.0005636326,0.000115204],"domain_scores_gemma":[0.9929653,0.002100932,0.002229627,0.0007105053,0.001741588,0.000252047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001062409,0.0002132858,0.8347737,0.0001538667,0.0006585873,0.0006149613,0.0005354167,0.02664717,0.01008939,0.006423742,0.001692233,0.1171352],"study_design_scores_gemma":[0.00004260593,0.001450763,0.9039181,0.00004943156,0.0001888015,0.0008295953,0.0005011296,0.07702447,0.008339546,0.003657356,0.003902156,0.00009595014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922124,0.0005626901,0.002699325,0.00006748918,0.00003120021,0.00001511702,0.000347082,0.00004916155,0.004015559],"genre_scores_gemma":[0.9979547,0.0001214832,0.0009758578,0.000007355982,0.00002472392,0.000002958875,0.0003415093,0.000007432591,0.0005639199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003509743,"threshold_uncertainty_score":0.01856154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006418368542801038,"score_gpt":0.1916513812780135,"score_spread":0.1852330127352124,"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."}}