{"id":"W7045317274","doi":"","title":"An Analysis of the Relationship between Nominal Exchange Rates and Stock Prices","year":2015,"lang":"en","type":"other","venue":"Nottingham ePrints (University of Nottingham)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Exchange rate; Granger causality; Stock (firearms); Vector autoregression; Stock exchange; Variance decomposition of forecast errors; Unit root; Stock market","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":[0.0007647,0.0001634197,0.0001759793,0.001068264,0.0001777704,0.0009805836,0.0001509946,0.0002336864,0.002524208],"category_scores_gemma":[0.004425961,0.00008698171,0.0003027609,0.00176526,0.0001120046,0.0004978525,0.000198264,0.0004451399,0.0003276802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003163582,"about_ca_system_score_gemma":0.000398418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004083904,"about_ca_topic_score_gemma":0.003670438,"domain_scores_codex":[0.999679,0.00008705436,0.00003546618,0.00003949226,0.0001233997,0.00003565566],"domain_scores_gemma":[0.9967268,0.001524814,0.001064389,0.00009907957,0.0004516884,0.0001333406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001402719,0.00006444516,0.9758245,0.00007521323,0.0001663294,0.000563668,0.000381187,0.001439867,0.001104889,0.002292371,0.0007051504,0.01724207],"study_design_scores_gemma":[0.000005327864,0.00011552,0.9890049,0.00002101239,0.00006190999,0.0001688159,0.0008997733,0.006825887,0.0004147863,0.0006244839,0.001846489,0.00001112353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940205,0.0004799144,0.000607555,0.0002448025,0.00002222547,0.000008950706,0.0005224019,0.00001136014,0.004082248],"genre_scores_gemma":[0.9977309,0.0003941859,0.0003362019,0.00001909028,0.00002649023,0.000005868352,0.0005914776,0.000001843406,0.0008938769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004083904,"threshold_uncertainty_score":0.008444309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06956929984035319,"score_gpt":0.2942064818932827,"score_spread":0.2246371820529295,"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."}}