{"id":"W3151845494","doi":"10.1016/j.mulfin.2021.100691","title":"The stabilizing effects of pension funds vs. mutual funds on country-specific market risk","year":2021,"lang":"en","type":"article","venue":"Journal of Multinational Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"National Natural Science Foundation of China","keywords":"Global assets under management; Pension; Passive management; Emerging markets; Business; Prudence; Institutional investor; Monetary economics; Fund of funds; Financial system; Volatility (finance); Financial market; Economics; Finance; Market liquidity; Corporate governance","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":[0.003038154,0.0004449475,0.0009065808,0.000963327,0.0006211266,0.003015666,0.0005544485,0.001569881,0.004914191],"category_scores_gemma":[0.01985933,0.0002304999,0.0006239744,0.0005776847,0.001160053,0.001902314,0.001368486,0.001069253,0.0003411069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065393,"about_ca_system_score_gemma":0.0007483007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005239813,"about_ca_topic_score_gemma":0.004540873,"domain_scores_codex":[0.9995339,0.0001697152,0.00002447156,0.00005333251,0.0000372501,0.0001813033],"domain_scores_gemma":[0.9860981,0.007740425,0.003521057,0.0005817043,0.0008621741,0.001196619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01805795,0.0008021296,0.4206773,0.0005493606,0.001799647,0.003167363,0.002017941,0.1974336,0.0243498,0.2244997,0.007914613,0.09873065],"study_design_scores_gemma":[0.001291248,0.003192841,0.593188,0.000238626,0.005804685,0.0008625423,0.006067183,0.1977159,0.02683657,0.1587915,0.00567537,0.0003354769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931303,0.0008627974,0.000483614,0.0007216516,0.00002690867,0.000006870953,0.00009253724,0.00003736847,0.00463794],"genre_scores_gemma":[0.9994432,0.0001721174,0.00002769605,0.0000228135,0.00001068513,9.207037e-7,0.00001213239,0.000003327327,0.000307004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005239813,"threshold_uncertainty_score":0.01643962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406600249099024,"score_gpt":0.208667917472338,"score_spread":0.1946019149813478,"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."}}