{"id":"W2131861729","doi":"10.5539/ijef.v6n3p177","title":"An Empirical Investigation on Stock Market Anomalies: The Evidence from Colombo Stock Exchange in Sri Lanka","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sri lanka; Stock exchange; Autoregressive conditional heteroskedasticity; Volatility (finance); Stock market; Economics; Stock (firearms); Names of the days of the week; Ordinary least squares; Econometrics; Financial economics; Context (archaeology); Geography; Socioeconomics; 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":[0.0005405901,0.0002386584,0.0002581272,0.00195484,0.0004126771,0.0008879471,0.0003816061,0.0003640963,0.001632082],"category_scores_gemma":[0.00281512,0.0001478265,0.0002959469,0.003118269,0.0005236501,0.0007608889,0.0006748886,0.0005302105,0.0002360149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000387177,"about_ca_system_score_gemma":0.0006126062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02944105,"about_ca_topic_score_gemma":0.05255695,"domain_scores_codex":[0.9996526,0.00006153901,0.00005120036,0.00005544052,0.0001100951,0.00006907466],"domain_scores_gemma":[0.9963385,0.0009990762,0.001900379,0.0001375125,0.000378851,0.000245638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004258759,0.00002759147,0.9925047,0.0000826082,0.00009137078,0.0008005559,0.0008630018,0.0001110953,0.0004056308,0.0002636084,0.0005690054,0.004238253],"study_design_scores_gemma":[0.000002440926,0.0000285553,0.9961954,0.00002699833,0.00004429697,0.0002002577,0.001990166,0.0003246944,0.00010816,0.00003503219,0.001037238,0.000006882996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969856,0.0006509425,0.00005059477,0.0002524632,0.000007214814,0.000005256643,0.0004048948,0.000004200753,0.00163878],"genre_scores_gemma":[0.997905,0.0009078846,0.00006313287,0.00004218815,0.00003012396,0.000003858206,0.0008046001,0.000002135944,0.0002410814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02944105,"threshold_uncertainty_score":0.05853939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08098837304327326,"score_gpt":0.2842561243114232,"score_spread":0.2032677512681499,"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."}}