{"id":"W2567651341","doi":"10.5539/ijef.v9n1p20","title":"Random Walk in Emerging Asian Stock Markets","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unit root; Random walk; Stock (firearms); Random walk hypothesis; Unit root test; Financial crisis; Econometrics; Stock market; Economics; Augmented Dickey–Fuller test; Financial economics; Emerging markets; Mathematics; Statistics; Cointegration; Finance; Keynesian economics; 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":[0.004170876,0.00007934651,0.0002430626,0.0003781782,0.00002480312,0.0001003004,0.0006025202,0.0000376127,0.00009637269],"category_scores_gemma":[0.0030568,0.00005171991,0.00009073523,0.00007604474,0.00005282838,0.0004110679,0.00009859251,0.00008884032,0.000007709393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008005255,"about_ca_system_score_gemma":0.00006708771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004206257,"about_ca_topic_score_gemma":0.00002614678,"domain_scores_codex":[0.9985831,0.0001013309,0.0008220405,0.0001752341,0.0001988797,0.0001194122],"domain_scores_gemma":[0.9974799,0.001419376,0.0006912635,0.0001188132,0.0002533546,0.00003728335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004918241,0.00001671661,0.01731605,3.033505e-7,0.00001936596,0.00002723932,0.0001102543,0.0004246506,0.00003790077,0.002948378,0.0005833569,0.9780239],"study_design_scores_gemma":[0.00756292,0.0001247954,0.4469477,0.0002643754,0.000007019322,0.0006137213,0.0001253677,0.01793213,0.0003416894,0.2579196,0.2678642,0.0002964687],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810966,0.0001932808,0.006572877,0.006111684,0.001417206,0.00003954835,0.000008792967,0.000001261591,0.004558726],"genre_scores_gemma":[0.9890582,0.001088402,0.008756947,0.00009874818,0.000209024,0.000001298179,7.803179e-8,0.000006193999,0.0007811366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9777275,"threshold_uncertainty_score":0.3659496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05640109521633361,"score_gpt":0.3555338858407935,"score_spread":0.2991327906244599,"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."}}