{"id":"W1970569375","doi":"10.2139/ssrn.1632667","title":"Is China’s P/E Ratio Too Low? Examining the Role of Earnings Volatility","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Earnings; Volatility (finance); China; Economics; Econometrics; Political science; Accounting; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009069191,0.0002272452,0.0004144864,0.0009456807,0.0006981831,0.002185938,0.0005916407,0.0008499949,0.0023421],"category_scores_gemma":[0.002441948,0.0001431433,0.0003653386,0.001311247,0.001026394,0.001271277,0.0005973274,0.0007084166,0.0002287403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136302,"about_ca_system_score_gemma":0.001827335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04191744,"about_ca_topic_score_gemma":0.03386365,"domain_scores_codex":[0.9997,0.00003932122,0.00001897689,0.0000614441,0.00005955895,0.0001207531],"domain_scores_gemma":[0.9980715,0.0004266958,0.0007626941,0.0000743862,0.0002885518,0.0003762553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002313898,0.00007106156,0.9656166,0.00006842147,0.0001496043,0.001755435,0.0008408614,0.0006935624,0.00142366,0.009827398,0.002947028,0.01637486],"study_design_scores_gemma":[0.00002498344,0.00008990354,0.9897695,0.0000191883,0.00008830391,0.0001446451,0.002114531,0.002568698,0.000516073,0.002455225,0.002187778,0.00002125112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903206,0.0005932645,0.00008179971,0.00418243,0.00003199226,0.000006139046,0.000152659,0.000007409052,0.004623582],"genre_scores_gemma":[0.9994003,0.0001430327,0.00001209691,0.000103951,0.00002729145,7.169045e-7,0.00005591315,0.000001550887,0.0002552403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04191744,"threshold_uncertainty_score":0.0833469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106880691635135,"score_gpt":0.198383035978755,"score_spread":0.1876949668152415,"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."}}