{"id":"W3006213885","doi":"10.66674/tynnst12","title":"Asymmetric Effects of Exchange Rates on Stock Prices in G7 Countries","year":2019,"lang":"en","type":"article","venue":"Capital Markets Review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary economics; Liberian dollar; Economics; Stock (firearms); Exchange rate; Us dollar; Stock exchange; Financial economics; Finance; Geography","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":[0.001464878,0.0002879101,0.0004759732,0.0014948,0.000316685,0.002174158,0.0002808898,0.0005865937,0.002062725],"category_scores_gemma":[0.006162201,0.0001643736,0.0006747928,0.001726564,0.000449556,0.001171941,0.0009876052,0.0009133261,0.0004543352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871903,"about_ca_system_score_gemma":0.0003421253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008288168,"about_ca_topic_score_gemma":0.005960863,"domain_scores_codex":[0.9989288,0.0002746314,0.000137629,0.0002150186,0.0002482276,0.0001955149],"domain_scores_gemma":[0.9956267,0.001048354,0.002371054,0.0002862709,0.0004525449,0.0002151259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003486188,0.00005266636,0.9727311,0.00008361938,0.0003251695,0.0009688208,0.0004893442,0.003171691,0.0005622609,0.004162968,0.002808503,0.01429533],"study_design_scores_gemma":[0.00005250068,0.0001155223,0.9818584,0.00008971726,0.0002640903,0.0002751251,0.001479993,0.006814953,0.0009304215,0.002469651,0.005608509,0.00004118476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919057,0.000889993,0.0003872893,0.0005091681,0.00003710614,0.00001416514,0.001518365,0.0000130463,0.004725129],"genre_scores_gemma":[0.9969525,0.0004614162,0.0001212728,0.00008919832,0.00003723712,0.000006833293,0.001778298,0.000004273197,0.0005490703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008288168,"threshold_uncertainty_score":0.01647985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578041382273563,"score_gpt":0.2348730614092226,"score_spread":0.209092647586487,"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."}}