{"id":"W3108990561","doi":"10.5430/ijfr.v11n6p25","title":"Behavioral Bias in Individual Investment Decisions: Is It a Common Phenomenon in Stock Markets?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loss aversion; Overconfidence effect; Representativeness heuristic; Behavioral economics; Regret; Investment decisions; Stock exchange; Stock market; Stock (firearms); Economics; Business; Econometrics; Financial economics; Actuarial science; Microeconomics; Finance; Psychology","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":[0.005961427,0.0001671992,0.0003878222,0.000953996,0.0003400448,0.001103892,0.0003179965,0.0006060503,0.0009377764],"category_scores_gemma":[0.0259565,0.0001825543,0.0002935399,0.0008748932,0.0008909111,0.0009448878,0.0005528811,0.0006570588,0.0001249007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004303601,"about_ca_system_score_gemma":0.0004742093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849762,"about_ca_topic_score_gemma":0.003654186,"domain_scores_codex":[0.9967381,0.001489317,0.0003000445,0.0003156746,0.0009178235,0.0002391308],"domain_scores_gemma":[0.9544395,0.02478117,0.01578421,0.002540275,0.001473381,0.0009813723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007056978,0.0001170272,0.9837249,0.00002807388,0.00008020853,0.00005818501,0.001680607,0.000134484,0.0004061041,0.0003201861,0.00005157006,0.01332799],"study_design_scores_gemma":[0.000004395482,0.0001264023,0.9961346,0.00002095708,0.00002951974,0.0001415469,0.001504194,0.0008480974,0.000228616,0.0006768873,0.0002711513,0.00001362762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997957,0.0001472904,0.0008720827,0.0001445343,0.000005787362,0.00001467069,0.00002974226,0.000003747018,0.0008249794],"genre_scores_gemma":[0.999377,0.00006804818,0.0003857336,0.00005943685,0.00000862269,0.000006695471,0.00003036192,0.000001564148,0.00006261585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005961427,"threshold_uncertainty_score":0.03152746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4222829282958755,"score_gpt":0.4180866609516516,"score_spread":0.004196267344223958,"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."}}