{"id":"W4385607330","doi":"10.5539/ijef.v15n9p37","title":"The Exchange Rate Volatility During Political Protests: Event Study and the Case of Belarus","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Devaluation; Unrest; Volatility (finance); Exchange rate; Economics; Currency; Monetary economics; Currency crisis; Politics; Financial economics; Political science; Law","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":[0.001921215,0.0002156038,0.0003851743,0.001787283,0.0009197833,0.001248869,0.0004604009,0.0007321042,0.001066661],"category_scores_gemma":[0.005705502,0.0001768173,0.0005511506,0.001533068,0.00105512,0.001042664,0.001048119,0.0007700224,0.0001430956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123059,"about_ca_system_score_gemma":0.0004583666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02451093,"about_ca_topic_score_gemma":0.01496428,"domain_scores_codex":[0.9990171,0.0005073688,0.00005277162,0.0001022487,0.00009474083,0.0002257173],"domain_scores_gemma":[0.9948428,0.00303049,0.001035842,0.0002810527,0.0003306151,0.0004792293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007348577,0.001188585,0.9411107,0.0001208688,0.0002501132,0.01354155,0.01994443,0.006386909,0.001019857,0.004262274,0.001030086,0.01040976],"study_design_scores_gemma":[0.00004670607,0.0005535706,0.9483366,0.00004050184,0.00009298617,0.001580818,0.03451689,0.01154381,0.0003531312,0.001031016,0.001856504,0.00004751158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992256,0.00005928684,0.0001016102,0.00006825403,0.000002990325,0.000006893583,0.00004569494,0.000001223534,0.0004883301],"genre_scores_gemma":[0.9996234,0.00007409479,0.00008882027,0.0000115111,0.00000959774,0.000005129223,0.00008376934,0.000001003098,0.0001025542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02451093,"threshold_uncertainty_score":0.04873651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149803262392467,"score_gpt":0.2550761800089257,"score_spread":0.2335781473850011,"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."}}