{"id":"W2773809439","doi":"","title":"Volatility Persistence in Palestine Exchange Bulls and Bears: An Econometric Analysis of Time Series Data","year":2017,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Cointegration; Palestine; Stock (firearms); Long memory; Econometrics; Financial economics; Stock market; Monetary economics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002190445,0.0001696981,0.001300996,0.0003158474,0.00008407789,0.00005569472,0.0005994969,0.00007836855,0.0001099184],"category_scores_gemma":[0.000412389,0.0001978551,0.0001016357,0.0002492127,0.0002467364,0.0007842659,0.00036761,0.00008751271,0.000001909217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002859384,"about_ca_system_score_gemma":0.00002324905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004943364,"about_ca_topic_score_gemma":0.0006445919,"domain_scores_codex":[0.9980634,0.00002284545,0.001054153,0.0006599382,0.00001555194,0.0001840447],"domain_scores_gemma":[0.9967984,0.00007637979,0.001367976,0.001664194,0.00003953214,0.00005351951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003131508,0.0001271251,0.9558888,0.002814373,0.0002065208,0.000001028244,0.0001012912,0.0000215882,9.026456e-7,0.01293754,0.000031226,0.02783829],"study_design_scores_gemma":[0.0002095189,0.00006413722,0.6390759,0.0003061851,0.00008108071,0.000001254892,0.000006800095,0.3494889,8.072172e-7,0.002506972,0.008059784,0.0001986139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005368,0.09512229,0.0000319297,0.0002530371,0.00005463272,0.0002445229,0.002121225,0.000002508409,0.001633021],"genre_scores_gemma":[0.5785776,0.4204696,0.0007257668,0.00003307699,0.000009965715,0.000005552281,0.00008712635,0.000007195277,0.00008410979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3494674,"threshold_uncertainty_score":0.8068295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07593748338671463,"score_gpt":0.2653132412989274,"score_spread":0.1893757579122128,"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."}}