{"id":"W4414307316","doi":"10.1016/j.jeca.2025.e00437","title":"Stock market sensitivities to European monetary policy","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Universidad de Castilla-La Mancha; Federación Española de Enfermedades Raras; European Commission; Ministerio de Ciencia, Innovación y Universidades","keywords":"Monetary policy; Stock (firearms); Proxy (statistics); Stock market; Financial market; Transmission channel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002366118,0.0004108789,0.0005986508,0.0007809113,0.0001534596,0.002090536,0.0003166934,0.0008167984,0.002842877],"category_scores_gemma":[0.0122061,0.000249802,0.0005075168,0.0006776552,0.0003692874,0.001161219,0.0007062437,0.0006938134,0.000236796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006943286,"about_ca_system_score_gemma":0.0002815199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004721098,"about_ca_topic_score_gemma":0.002184563,"domain_scores_codex":[0.9994835,0.0001804075,0.00005167267,0.0001125931,0.00008812632,0.00008363253],"domain_scores_gemma":[0.9964578,0.001668045,0.001211435,0.0002482174,0.0002950211,0.0001195341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001587291,0.0003200618,0.283616,0.0002167363,0.001080749,0.0007957769,0.0005497229,0.6354215,0.01201486,0.03048242,0.002226584,0.03168828],"study_design_scores_gemma":[0.0001894763,0.0006405083,0.4240223,0.0001037964,0.0004367375,0.0002800516,0.0007637629,0.5412047,0.009017961,0.01887785,0.00433777,0.0001250379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943472,0.0002679493,0.001181151,0.0002081052,0.00002220373,0.000007790549,0.0002262898,0.00003518379,0.003704055],"genre_scores_gemma":[0.999184,0.0001171207,0.0001283004,0.00002898134,0.000007830968,0.000002285783,0.0001406221,0.000004466987,0.0003864052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004721098,"threshold_uncertainty_score":0.01251334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462035082622753,"score_gpt":0.2393992464278595,"score_spread":0.204778895601632,"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."}}