{"id":"W2197385272","doi":"10.5539/ibr.v9n1p176","title":"Frequency Domain Causality Analysis of Interactions between Financial Markets of Turkey","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Interest rate; Volatility (finance); Granger causality; Us dollar; Monetary economics; Exchange rate; Financial market; Stock (firearms); Stock market; Liberian dollar; Financial economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008668342,0.0002812146,0.000315485,0.002316984,0.0003063447,0.0009417515,0.0002084067,0.0003090612,0.003797593],"category_scores_gemma":[0.003686136,0.0001447625,0.0004928492,0.001588184,0.000229258,0.0008226783,0.0005009242,0.0003860597,0.0002655666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004743419,"about_ca_system_score_gemma":0.0006703828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177362,"about_ca_topic_score_gemma":0.006567419,"domain_scores_codex":[0.9995357,0.00017381,0.00003676195,0.0001068909,0.00006094377,0.00008594523],"domain_scores_gemma":[0.9980427,0.0009244219,0.0005089699,0.00009662811,0.0003434977,0.00008375572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003996461,0.0001362727,0.9017221,0.0001485808,0.0004186028,0.001289027,0.0007144836,0.02099849,0.002526419,0.00821822,0.001855352,0.06157279],"study_design_scores_gemma":[0.00003050634,0.0001228237,0.9300882,0.0000413755,0.0002229519,0.0003573158,0.001029256,0.0596671,0.0007948446,0.005381843,0.002225475,0.00003829777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994693,0.0002679365,0.002324286,0.0001174451,0.00001312013,0.00001403233,0.0005434903,0.0000311722,0.001995504],"genre_scores_gemma":[0.9986185,0.0001011594,0.0005652191,0.000009555559,0.000008229555,0.000006995845,0.0004202296,0.000004142732,0.000265984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177362,"threshold_uncertainty_score":0.0234102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354002624521213,"score_gpt":0.3730979179239222,"score_spread":0.2376976554718009,"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."}}