{"id":"W2763914506","doi":"10.21474/ijar01/5331","title":"MEASURING FUND PERFORMANCE USING MULTI-FACTOR MODELS: EVIDENCE FROM THE INDIAN MUTUAL FUNDS AND ULIP FUNDS.","year":2017,"lang":"en","type":"article","venue":"International Journal of Advanced Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research","funders":"","keywords":"Closed-end fund; Fund of funds; Open-end fund; Mutual fund; Actuarial science; Business; Finance; Accounting; Institutional investor","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":[0.006395498,0.0006762326,0.0004804389,0.002011717,0.0005863928,0.002415857,0.0009330937,0.00076463,0.0009474972],"category_scores_gemma":[0.03803701,0.0002527753,0.001023796,0.003336265,0.0006649833,0.001742941,0.001068303,0.0009406355,0.0003470014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202832,"about_ca_system_score_gemma":0.00182082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09661151,"about_ca_topic_score_gemma":0.04950551,"domain_scores_codex":[0.9979603,0.0009930399,0.000154856,0.0001811827,0.000436478,0.0002740856],"domain_scores_gemma":[0.9720791,0.01712956,0.00631238,0.00137594,0.002312059,0.0007910351],"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":[0.001068566,0.0003916136,0.9213345,0.000131967,0.0009430468,0.0003626961,0.001324795,0.02750714,0.0002529091,0.003497238,0.002606557,0.04057897],"study_design_scores_gemma":[0.0001484398,0.0005278794,0.9085619,0.0001185022,0.0008559206,0.0002193675,0.002940923,0.07695027,0.001080964,0.005022196,0.003473203,0.0001004398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953838,0.000843103,0.001088147,0.0005621139,0.00001742589,0.00002283856,0.0003924319,0.00004278454,0.001647239],"genre_scores_gemma":[0.9987863,0.0002687072,0.0003718325,0.00001808594,0.00001113343,0.000007384951,0.000327131,0.000003132907,0.0002063969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09661151,"threshold_uncertainty_score":0.1920983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5503192157119098,"score_gpt":0.4005491993138431,"score_spread":0.1497700163980666,"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."}}