{"id":"W4231165746","doi":"10.17578/10-3/4-2","title":"Risk Management in Emerging Markets: Practical Methodologies and Empirical Tests","year":2006,"lang":"en","type":"article","venue":"Multinational Finance Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; University of Waterloo","funders":"University of Cyprus; University of Pittsburgh; University of Southern California; National Science Foundation","keywords":"Emerging markets; Risk management; Financial market; Derivatives market; Business; Value (mathematics); Economics; Stock market; Stock (firearms); Risk analysis (engineering); Financial economics; Actuarial science; Computer science; Finance; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002015907,0.0001419276,0.0002789048,0.0003529919,0.0001827676,0.00009831914,0.0001105935,0.00007817453,0.0001623896],"category_scores_gemma":[0.0005503249,0.0001545941,0.00007111227,0.0001417616,0.00006188394,0.0004844255,0.00006207297,0.0003693646,0.00006489716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542724,"about_ca_system_score_gemma":0.00001267601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001641433,"about_ca_topic_score_gemma":0.00003183049,"domain_scores_codex":[0.9985387,0.00007591285,0.0007162676,0.0002860611,0.0000489669,0.0003341084],"domain_scores_gemma":[0.9989859,0.0003827379,0.0004612256,0.0001109501,0.00001401689,0.00004518768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001020383,0.0001881232,0.8902973,0.00001883519,0.00006014014,0.000119963,0.000210135,0.01635203,0.000002067834,0.06159239,0.01183048,0.01922649],"study_design_scores_gemma":[0.0007724784,0.00002095667,0.8150953,0.00001141716,0.000004351341,0.0001368908,0.00003809142,0.03290062,0.000003116676,0.1130575,0.0378013,0.0001579386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707537,0.001578461,0.01043561,0.004715262,0.0002883871,0.0001378579,0.00007573736,0.00001642995,0.01199853],"genre_scores_gemma":[0.8379977,0.001502763,0.1591988,0.0002384115,0.0002262579,0.00001162803,0.000008142041,0.00001344616,0.0008028718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487632,"threshold_uncertainty_score":0.6304167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1436174468041861,"score_gpt":0.3540593350436056,"score_spread":0.2104418882394196,"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."}}