{"id":"W4387572891","doi":"10.3390/jrfm16100442","title":"The Launch of a Night Trading Session and Currency Futures Market Liquidity: Evidence from the Thailand Futures Exchange","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kasetsart University","keywords":"Futures contract; Market liquidity; Session (web analytics); Electronic trading; Open outcry; Business; Algorithmic trading; High-frequency trading; Currency; Financial economics; Monetary economics; Economics; Alternative trading system; Finance; Advertising","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":[0.001598558,0.0001934268,0.0002804259,0.0006050873,0.0004795618,0.002000137,0.0003844066,0.0006486854,0.004230308],"category_scores_gemma":[0.008027053,0.0001744126,0.0004482019,0.0008023076,0.000660456,0.001474795,0.00123215,0.00111721,0.0005311724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569586,"about_ca_system_score_gemma":0.0004313824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007186453,"about_ca_topic_score_gemma":0.009740312,"domain_scores_codex":[0.9992806,0.0002583619,0.00006270919,0.00008296312,0.0001836411,0.0001317603],"domain_scores_gemma":[0.9842288,0.00605624,0.006884745,0.0004501727,0.0006033175,0.001776671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001867722,0.0004668177,0.9781799,0.0001083294,0.0002464445,0.0008879044,0.001878724,0.000573538,0.000728853,0.0007582472,0.001517888,0.01278562],"study_design_scores_gemma":[0.00003537165,0.0002776675,0.9941233,0.0000362531,0.00008490172,0.000126484,0.002333532,0.0007151835,0.0002672011,0.0002679023,0.001708936,0.00002329008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976766,0.0003065382,0.00006033649,0.000161724,0.00001157673,0.000004435109,0.0002222702,0.000003684567,0.001552976],"genre_scores_gemma":[0.9983841,0.0002881743,0.00004473223,0.00005641488,0.00004789503,0.0000036401,0.0004657047,0.000004928255,0.0007044087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007186453,"threshold_uncertainty_score":0.0142892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684424182546695,"score_gpt":0.2270755300373255,"score_spread":0.2002312882118586,"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."}}