{"id":"W2136821099","doi":"10.1111/j.1539-6975.2009.01314.x","title":"<scp>Nonlinear Cointegration Relationships Between Non‐Life Insurance Premiums and Financial Markets</scp>","year":2009,"lang":"en","type":"article","venue":"Journal of Risk & Insurance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Underwriting; Economics; Life insurance; Linkage (software); Financial market; Econometrics; Error correction model; Financial economics; Actuarial science; Finance","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":[0.001101052,0.0001725966,0.0002415585,0.0006591002,0.0001942724,0.0008831742,0.0002834412,0.000341973,0.005246872],"category_scores_gemma":[0.006575454,0.00008978468,0.0003344552,0.0007213153,0.0006979107,0.0007324457,0.0004443253,0.0005044431,0.0002474286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294541,"about_ca_system_score_gemma":0.0004929524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0237269,"about_ca_topic_score_gemma":0.01177817,"domain_scores_codex":[0.9998172,0.00004839154,0.00001346412,0.0000376901,0.00004670931,0.00003661246],"domain_scores_gemma":[0.996038,0.001787009,0.001224375,0.0002727175,0.0005061224,0.0001716485],"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":[0.0001867671,0.0001209585,0.795475,0.0001260448,0.000279521,0.00101973,0.0009307447,0.09361896,0.006444566,0.0533772,0.00254571,0.04587476],"study_design_scores_gemma":[0.00001759085,0.00007544199,0.6877588,0.00002599167,0.00007708617,0.0002410645,0.0003543724,0.2866144,0.002162899,0.02112403,0.001516606,0.00003161987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885667,0.0001895753,0.008142805,0.0005885533,0.000008381374,0.0000146552,0.0001534996,0.00005562272,0.002280378],"genre_scores_gemma":[0.999003,0.00004881471,0.0004091113,0.00001495818,0.000004777698,0.000002184777,0.00007749393,0.00000333969,0.0004363211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0237269,"threshold_uncertainty_score":0.04717761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956660046301547,"score_gpt":0.2155661899800366,"score_spread":0.1959995895170211,"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."}}