{"id":"W3125885038","doi":"","title":"Causal Relationship between Stock Prices and Exchange Rates","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Causality (physics); Granger causality; Economics; Stock (firearms); Econometrics; Stock exchange; Linkage (software); Exchange rate; Stock price; Monetary economics; Financial economics; Geography; Series (stratigraphy)","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":[0.00109155,0.000296496,0.0002686631,0.002688736,0.0004278496,0.001361848,0.0002464717,0.0004436934,0.004556313],"category_scores_gemma":[0.01007036,0.0002037838,0.0003956657,0.002124056,0.0004463352,0.0008646963,0.000550338,0.0007338368,0.000357812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007446138,"about_ca_system_score_gemma":0.00105671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292698,"about_ca_topic_score_gemma":0.02407011,"domain_scores_codex":[0.9995748,0.000130152,0.00003189834,0.00006903227,0.0001268871,0.00006713578],"domain_scores_gemma":[0.9936615,0.002834656,0.002047827,0.0002728292,0.0008346271,0.000348551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001534021,0.0001149161,0.9530223,0.00007271745,0.0002231585,0.0003828819,0.0005693603,0.003076147,0.0007035832,0.01269369,0.0008116107,0.02817616],"study_design_scores_gemma":[0.00003591915,0.00007907856,0.9797643,0.00006663822,0.0002476262,0.000236768,0.0006431529,0.007190449,0.0009091177,0.007795644,0.002997368,0.0000339348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873356,0.001325317,0.002999285,0.0006534991,0.00005877993,0.00003250801,0.001015952,0.00003834163,0.006540812],"genre_scores_gemma":[0.9957659,0.001070959,0.0007655898,0.00004001202,0.00004049502,0.00001248569,0.0006696195,0.000007148069,0.001627653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02292698,"threshold_uncertainty_score":0.04558706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09235355343429057,"score_gpt":0.3318711223828228,"score_spread":0.2395175689485322,"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."}}