{"id":"W1801408019","doi":"10.2139/ssrn.2307022","title":"Robust Assessment of Hedge Fund Performance Through Nonparametric Risk Adjustment","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hedge fund; Nonparametric statistics; Econometrics; Actuarial science; Business; Returns-based style analysis; Economics; Computer science; Finance; Fund administration; Fund of funds; Microeconomics; Incentive","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":[0.003810157,0.000504019,0.000566273,0.0008561413,0.0001856694,0.001258253,0.0006619835,0.0007456097,0.0007307],"category_scores_gemma":[0.01942373,0.0002308173,0.0003948589,0.0006592036,0.0004294147,0.001283707,0.00102183,0.0007049029,0.0002525166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139326,"about_ca_system_score_gemma":0.0005043778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305158,"about_ca_topic_score_gemma":0.001376359,"domain_scores_codex":[0.9986435,0.0005404569,0.00009414097,0.0002266167,0.000408983,0.00008636967],"domain_scores_gemma":[0.9942691,0.002563153,0.001242518,0.001184062,0.0006236111,0.0001175952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001071596,0.0002366882,0.05879013,0.0001382174,0.0005970316,0.0002221833,0.0001409843,0.6812618,0.02204259,0.01425015,0.001539906,0.2197088],"study_design_scores_gemma":[0.00001673583,0.0001158931,0.01766211,0.000009609351,0.00003103943,0.00007995115,0.00001604749,0.972827,0.004499406,0.004397934,0.0003131999,0.00003104885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4686977,0.0003025087,0.5271705,0.0001312566,0.00004092773,0.00004462425,0.0003182528,0.0007009399,0.002593156],"genre_scores_gemma":[0.977797,0.00004621367,0.02137537,0.00001334736,0.00001782882,0.00001335342,0.0002044623,0.00003135298,0.0005011361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003810157,"threshold_uncertainty_score":0.02015024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531651198779792,"score_gpt":0.2338420323578798,"score_spread":0.1985255203700819,"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."}}