{"id":"W2163725872","doi":"10.2139/ssrn.312158","title":"Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":362,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Price discovery; Macro; Monetary economics; Foreign exchange; Business; Economics; Financial economics; Computer science; Futures contract","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002275348,0.0002304647,0.0007007619,0.0009375406,0.0004477004,0.003267971,0.0004609482,0.001768415,0.01109338],"category_scores_gemma":[0.02234534,0.0004263548,0.0003639017,0.001391471,0.0005559946,0.001803956,0.001201994,0.001948716,0.001576315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006582585,"about_ca_system_score_gemma":0.0004701673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009236376,"about_ca_topic_score_gemma":0.009030134,"domain_scores_codex":[0.9994395,0.0001566519,0.00005695883,0.0001056728,0.00009528962,0.000145849],"domain_scores_gemma":[0.9665968,0.0218875,0.007347055,0.001078303,0.00116166,0.001928774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006395748,0.001340444,0.8784747,0.0002258078,0.0006943048,0.001697165,0.001128843,0.0271655,0.004728099,0.01639498,0.02006894,0.0416856],"study_design_scores_gemma":[0.0001398466,0.0003176749,0.9450279,0.00002036501,0.0003698966,0.0001951754,0.001057043,0.03901492,0.001752803,0.009244286,0.002767605,0.00009239993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919097,0.0004547445,0.0005496639,0.002343198,0.0001086747,0.000009030427,0.001066386,0.0000768913,0.003481774],"genre_scores_gemma":[0.997669,0.0001693635,0.00007410482,0.00007722176,0.0001363352,0.000004062908,0.0003102466,0.00001320877,0.0015464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109338,"threshold_uncertainty_score":0.03711104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981070273254924,"score_gpt":0.2008288006854047,"score_spread":0.1810180979528555,"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."}}