{"id":"W2258727868","doi":"10.6413/ajmhs.200909.0125","title":"Calendar anomaly in 3 Indices of CNX Nifty with respect to empirical study of quarter of the year effect, month of the year effect for the period of January 2004 -March 2013","year":2013,"lang":"en","type":"article","venue":"Asian Journal of Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Quarter (Canadian coin); Volatility (finance); Stock market index; Economics; Mathematics; Econometrics; Stock market; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001035425,0.0002199446,0.0003162381,0.001258905,0.0001962914,0.0009003356,0.0003189298,0.0002235027,0.002630783],"category_scores_gemma":[0.005488251,0.00009845721,0.0004476263,0.002364642,0.0002352778,0.0003487808,0.0005299448,0.0005857666,0.0003652655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007781735,"about_ca_system_score_gemma":0.000677859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01601953,"about_ca_topic_score_gemma":0.01504283,"domain_scores_codex":[0.9986859,0.0001358343,0.0001404038,0.0002453616,0.0006211927,0.0001712691],"domain_scores_gemma":[0.9929803,0.001295082,0.003972775,0.0003795493,0.0009041626,0.000468145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001367364,0.000024411,0.9918177,0.0000220036,0.00008662889,0.0001099494,0.000135449,0.0004090836,0.0003533749,0.0002226284,0.001330384,0.005351633],"study_design_scores_gemma":[0.000001273145,0.00002792668,0.9981711,0.000003856924,0.00001399825,0.00003304568,0.00005270556,0.0006080476,0.0001121495,0.00002698707,0.0009460353,0.000002948091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931937,0.0003532636,0.0003156052,0.0001309703,0.00005974807,0.00001315082,0.00269977,0.00003249001,0.003201312],"genre_scores_gemma":[0.9961452,0.0001108117,0.0001011363,0.00001900451,0.00005075008,0.000008901774,0.002685145,0.000009293486,0.0008698278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01601953,"threshold_uncertainty_score":0.03185254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219202727936016,"score_gpt":0.2302668198365525,"score_spread":0.2180747925571923,"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."}}