{"id":"W3124128593","doi":"10.1093/rfs/hhaa123","title":"Demand Effects in the FX Forward Market: Micro Evidence from Banks’ Dollar Hedging","year":2020,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Monetary economics; Hedge; Balance sheet; Arbitrage; Quarter (Canadian coin); Interest rate parity; Economics; Forward contract; Business; Interest rate; Financial economics; Finance; Futures contract","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":[0.001434466,0.0001286909,0.0003696695,0.0007642771,0.0002248432,0.001262028,0.000266061,0.0005152752,0.00387936],"category_scores_gemma":[0.006678667,0.0001581592,0.0002064026,0.001176653,0.0004114055,0.0006733028,0.000419817,0.000742632,0.0006685937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049788,"about_ca_system_score_gemma":0.0002010003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0050893,"about_ca_topic_score_gemma":0.004723368,"domain_scores_codex":[0.9994973,0.0001810622,0.00004086559,0.00009715195,0.0001328426,0.00005078652],"domain_scores_gemma":[0.9859139,0.007516279,0.004521722,0.000524983,0.001156018,0.0003671254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006649592,0.0004961749,0.9527005,0.0002236858,0.0003544024,0.0004034395,0.0007162663,0.002688559,0.001973846,0.003662151,0.004562159,0.03155395],"study_design_scores_gemma":[0.00003670638,0.0001454236,0.9889027,0.00005674951,0.000125077,0.00009664572,0.0008691892,0.003981021,0.0007838841,0.001729421,0.003250306,0.00002270919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939692,0.002009631,0.0003586225,0.0004352339,0.00001034149,0.00000864468,0.000554714,0.00000905813,0.002644539],"genre_scores_gemma":[0.9980748,0.0009117118,0.0000899725,0.00008263194,0.00003788654,0.000003676019,0.0003795994,0.000003439148,0.0004163273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0050893,"threshold_uncertainty_score":0.01297778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0443592734531626,"score_gpt":0.2753654950535291,"score_spread":0.2310062216003665,"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."}}