{"id":"W3092811091","doi":"10.1111/fmii.12134","title":"Diversification benefits of cat bonds: An in‐depth examination","year":2020,"lang":"en","type":"article","venue":"Financial Markets Institutions and Instruments","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Group for Research in Decision Analysis","funders":"","keywords":"Bond; Sharpe ratio; Diversification (marketing strategy); Portfolio; Volatility (finance); Econometrics; Stochastic dominance; Economics; Financial economics; Business; 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":[0.00231284,0.0001831705,0.0003902432,0.0007532272,0.0002105054,0.001571762,0.0002877726,0.0003505485,0.002390144],"category_scores_gemma":[0.008405765,0.0001102378,0.000239598,0.0008599639,0.0003134763,0.001143273,0.0007025087,0.0005276886,0.0001624872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005195034,"about_ca_system_score_gemma":0.0003605728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005706882,"about_ca_topic_score_gemma":0.0007010251,"domain_scores_codex":[0.999368,0.0001722552,0.00004625604,0.00006174502,0.0002884371,0.00006335857],"domain_scores_gemma":[0.9948743,0.001909605,0.001583405,0.0003398368,0.0009255505,0.0003673479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001897529,0.0006699766,0.6522134,0.0005304118,0.0007337077,0.001493903,0.0007240811,0.03917435,0.01650485,0.04259558,0.001960183,0.241502],"study_design_scores_gemma":[0.0001374329,0.002833775,0.8573996,0.0003168254,0.0005714957,0.001772178,0.001860742,0.07307278,0.01071275,0.03418251,0.01707733,0.00006257918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913741,0.001603095,0.001299551,0.0002386466,0.00001235992,0.00001268303,0.00008604437,0.00000947126,0.005363972],"genre_scores_gemma":[0.998858,0.0003710724,0.0002598603,0.00001704656,0.00001118418,0.000001768392,0.00005889912,0.000001796943,0.0004204726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002390144,"threshold_uncertainty_score":0.01223159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04968288024602619,"score_gpt":0.2265026846149407,"score_spread":0.1768198043689145,"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."}}