{"id":"W4414572878","doi":"10.1016/j.frl.2025.108465","title":"Safe haven currencies: A dependence-switching copula approach","year":2025,"lang":"en","type":"article","venue":"Finance research letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"University of Washington; Toronto Metropolitan University","keywords":"Safe haven; Haven; Copula (linguistics); Liberian dollar; Currency; Tax haven","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004980769,0.001668414,0.002908372,0.001898873,0.001057571,0.003357295,0.003500084,0.002453231,0.009216639],"category_scores_gemma":[0.01671703,0.0019272,0.002501265,0.001944591,0.002015315,0.005528363,0.00263911,0.004828796,0.0008848053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176653,"about_ca_system_score_gemma":0.001251296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006257244,"about_ca_topic_score_gemma":0.00404502,"domain_scores_codex":[0.9985057,0.0007862967,0.00005115743,0.0002378133,0.000204077,0.0002149458],"domain_scores_gemma":[0.9938426,0.003931419,0.0006769468,0.0006234857,0.0004786644,0.0004469441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009058858,0.0001276498,0.001328237,0.00009366753,0.0002879091,0.0003652585,0.000220592,0.3134667,0.0003859648,0.6625,0.006161295,0.01497213],"study_design_scores_gemma":[0.00001435355,0.00001856421,0.0003851475,0.00001778921,0.00004492234,0.0000383063,0.00003685206,0.8240395,0.00006097871,0.1742736,0.001046643,0.00002323643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0582022,0.001580668,0.920299,0.001967108,0.0003049453,0.00008128536,0.0003748493,0.0002419236,0.01694806],"genre_scores_gemma":[0.8629398,0.00323962,0.08820017,0.0006839306,0.001132073,0.000253575,0.001035753,0.0007188863,0.04179623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009216639,"threshold_uncertainty_score":0.03083271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1790595318346171,"score_gpt":0.326947186867244,"score_spread":0.1478876550326269,"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."}}