{"id":"W2589568907","doi":"","title":"CURRENCY RISKS HEDGING OF COMMERCIAL BANKSâ CORPORATE CLIENTS","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Economic and Business Development Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Currency; Portfolio; Foreign exchange risk; Exchange rate; Quality (philosophy); Business; Sanctions; Product (mathematics); Foreign exchange market; Foreign exchange swap; Mechanism (biology); Financial market; Finance; Monetary economics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034963,0.0001269937,0.0003988923,0.0001474484,0.00006151696,0.0000384489,0.0003819852,0.00004963952,0.0002845899],"category_scores_gemma":[0.00005334902,0.00008080877,0.00007871411,0.00008131361,0.0001533027,0.000267152,0.0001053007,0.0001612216,0.0000344073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003756039,"about_ca_system_score_gemma":0.00002599018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001231792,"about_ca_topic_score_gemma":0.00001567918,"domain_scores_codex":[0.9987689,0.00003805257,0.0008836567,0.0001043747,0.00003820244,0.0001668253],"domain_scores_gemma":[0.9979984,0.0001626492,0.001580812,0.000149281,0.00006949426,0.00003938854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001921957,0.00009565397,0.8503082,0.00005101901,0.0001928686,0.000003595703,0.001684489,0.00001756272,0.00008166542,0.08406865,0.002232674,0.06107144],"study_design_scores_gemma":[0.001945887,0.0002485771,0.9162185,0.0008183673,0.00003979338,0.0001158912,0.0003820443,0.00025816,0.0005452398,0.06904274,0.01002199,0.0003627967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849722,0.001434305,0.006438795,0.001064924,0.0005869144,0.00004476966,0.00001542785,0.000005501143,0.005437097],"genre_scores_gemma":[0.9977145,0.001419995,0.000118718,0.0001802135,0.00009664355,5.599309e-7,6.631517e-7,0.00001109493,0.0004575796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06591033,"threshold_uncertainty_score":0.3295286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188174796894751,"score_gpt":0.2599242217654024,"score_spread":0.1411067420759274,"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."}}