{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001755156,0.0005936518,0.001497671,0.002310203,0.000344293,0.00004227243,0.001643602,0.0007113152,0.001651668],"category_scores_gemma":[0.0007885559,0.0006197043,0.0004383228,0.002921227,0.0009914825,0.0002933074,0.000905126,0.0007046468,0.0001817486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002290887,"about_ca_system_score_gemma":0.0002689461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006463856,"about_ca_topic_score_gemma":0.006498871,"domain_scores_codex":[0.9962202,0.0006280134,0.0005266974,0.001061955,0.001039722,0.0005233877],"domain_scores_gemma":[0.9939157,0.0007907405,0.002904303,0.00163859,0.000424416,0.0003262965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006230763,0.0001489659,0.9775585,0.0003054925,0.001476382,0.000005942409,0.003834356,0.00004082199,0.0001429458,0.0001893463,0.01493503,0.001299925],"study_design_scores_gemma":[0.0009633072,0.00008309472,0.9618479,0.0004332734,0.004981108,0.000001932265,0.002825063,0.0007192469,0.00003607334,0.0001022829,0.02740037,0.0006063468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929194,0.0003184761,0.000417614,0.0001389704,0.0001389806,0.0009925675,0.002208536,0.0003233866,0.1025421],"genre_scores_gemma":[0.8904604,0.00001219599,0.006176179,0.00001419546,0.0001841451,0.000001265447,0.0003490645,0.0004427907,0.1023598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571058,"threshold_uncertainty_score":0.9996254,"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."}}