{"id":"W2553631773","doi":"10.5539/ijef.v8n12p120","title":"An Empirical Analysis of the Relationship between Oil Prices and Stock Markets","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cyprus","keywords":"BRIC; Cointegration; Economics; Stock market index; Stock (firearms); Stock market; China; Financial economics; Diversification (marketing strategy); Emerging markets; Portfolio; Monetary economics; Stock market bubble; Oil price; Business; Econometrics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008078438,0.00008277767,0.0003289441,0.0002580171,0.00004539035,0.00004716859,0.0003200968,0.00006458596,0.00002635199],"category_scores_gemma":[0.0002264767,0.00006022646,0.0001343805,0.0001140676,0.0001019397,0.0003187409,0.00006561883,0.00008838459,5.702458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005546656,"about_ca_system_score_gemma":0.00002654509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126581,"about_ca_topic_score_gemma":0.00004136343,"domain_scores_codex":[0.9989539,0.00001998765,0.0007345748,0.0001736166,0.00003106858,0.00008680587],"domain_scores_gemma":[0.9983022,0.0003835526,0.001016694,0.0001683073,0.00008861812,0.00004067937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003500851,0.00002434024,0.9421138,0.000002644258,0.0002288114,3.779474e-7,0.00006946632,0.00004410982,0.000001105722,0.04992219,0.00001386107,0.007544244],"study_design_scores_gemma":[0.0003267831,0.0000300979,0.9403775,0.00001784259,0.00003603495,0.000003923122,0.000005856803,0.01688176,0.000003064559,0.03802789,0.004215048,0.00007418271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954443,0.0004115724,0.0008258209,0.002056389,0.0002323535,0.00002174628,0.0002794586,0.000001071011,0.0007272899],"genre_scores_gemma":[0.9975802,0.001613542,0.0004914812,0.00006057487,0.00008018986,9.37677e-7,0.000002023673,0.000005778862,0.0001652657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01683765,"threshold_uncertainty_score":0.2455964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04827142442302741,"score_gpt":0.2833664442837697,"score_spread":0.2350950198607423,"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."}}