{"id":"W2605989344","doi":"10.18374/jife-13-1.7","title":"MONDAY EFFECT DURING DIFFERENT MARKET STATES: THE INTERNATIONAL EVIDENCE","year":2013,"lang":"en","type":"article","venue":"Journal of International Finance and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Weekend effect; Equity (law); Heteroscedasticity; Names of the days of the week; Stock market; Volatility (finance); Arbitrage; Financial economics; Stock (firearms); Standard deviation; Econometrics; January effect; Monetary economics; Geography; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005146387,0.0001584655,0.0003114982,0.0001557292,0.00009979083,0.0003360847,0.0005443327,0.00005452868,0.0007453175],"category_scores_gemma":[0.0001631611,0.0001186067,0.0001438035,0.00003956557,0.00008594856,0.001226365,0.0001114464,0.0001998446,0.00006798589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567952,"about_ca_system_score_gemma":0.00001913339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006423884,"about_ca_topic_score_gemma":0.000005943087,"domain_scores_codex":[0.9987791,0.00001405347,0.0007843436,0.0001945124,0.00005329427,0.0001746731],"domain_scores_gemma":[0.9987486,0.0001797153,0.0007948026,0.0001414331,0.00008887983,0.00004656311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007426194,0.0002510184,0.6220196,0.0001087918,0.0008652977,0.00002729246,0.00135391,0.001882336,0.0002402897,0.3162684,0.04101938,0.015221],"study_design_scores_gemma":[0.001117741,0.0002942525,0.8091135,0.0002005513,0.00001192888,0.0001005225,0.0001457045,0.009920727,0.0004060655,0.07621329,0.1021568,0.0003189135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821228,0.002458139,0.00009059021,0.005994232,0.001993254,0.0001257644,0.00002973609,0.000005049762,0.007180464],"genre_scores_gemma":[0.9673573,0.0296836,0.0001579629,0.000471291,0.0004142908,0.0000182273,0.000002596626,0.00001306084,0.001881683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2400551,"threshold_uncertainty_score":0.8160705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580080762207487,"score_gpt":0.2058967154786627,"score_spread":0.1900959078565879,"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."}}