{"id":"W2303551156","doi":"10.5539/ijef.v8n4p246","title":"Determinant of the Relationship between Natural Gas Prices and Leading Natural Gas Countries’ Stock Exchange","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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variance decomposition of forecast errors; Natural gas; Economics; Granger causality; Stock market; Econometrics; Stock (firearms); Natural gas prices; Vector autoregression; Financial economics; Stock market index; Stock exchange; Exchange rate; Monetary economics; Finance; Chemistry; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003590363,0.0001519765,0.0002075337,0.0005017146,0.0001545511,0.001059985,0.0001471603,0.0002517284,0.004188492],"category_scores_gemma":[0.002147603,0.000101729,0.0002961708,0.000615944,0.0001828899,0.0004113176,0.0002472093,0.0004954509,0.0004488454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549818,"about_ca_system_score_gemma":0.0003940202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228606,"about_ca_topic_score_gemma":0.01123666,"domain_scores_codex":[0.9998206,0.00002915098,0.00002153989,0.00004043617,0.00005028909,0.00003792351],"domain_scores_gemma":[0.9980667,0.0005822773,0.0008770343,0.00007197001,0.0002457807,0.0001562868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005609501,0.00003976745,0.989151,0.00002215451,0.0001011498,0.000248667,0.00008835711,0.001449777,0.0004174378,0.00195599,0.0008942444,0.005575309],"study_design_scores_gemma":[0.000007747108,0.00003833233,0.9890186,0.0000210909,0.00005358627,0.00007273852,0.0003378182,0.007562575,0.0004253843,0.0009143885,0.001538452,0.000009342906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917285,0.000400244,0.0005575283,0.0005506137,0.00002982324,0.00001021749,0.0007849033,0.00001661059,0.005921623],"genre_scores_gemma":[0.9977555,0.0001785217,0.00008802917,0.00002010017,0.00001624848,0.000003344279,0.0005729548,0.00000234091,0.001362907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01228606,"threshold_uncertainty_score":0.02442908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228930698656314,"score_gpt":0.2487471580729011,"score_spread":0.216457851086338,"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."}}