{"id":"W2289661775","doi":"","title":"The Volatility of Romanian Exchange Rate: A GARCH Approach","year":2015,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Romanian; Economics; Exchange rate; Autoregressive conditional heteroskedasticity; Econometrics; Foreign exchange; Monetary economics; Financial economics","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":[0.001359324,0.0003185898,0.0004847178,0.001075103,0.0002025742,0.001350262,0.0006197477,0.0006613123,0.001297702],"category_scores_gemma":[0.003326586,0.000205305,0.0006722138,0.001027095,0.0003364208,0.0007774782,0.0004004696,0.0007924447,0.0002068396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004574391,"about_ca_system_score_gemma":0.0002970397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003755369,"about_ca_topic_score_gemma":0.001876623,"domain_scores_codex":[0.9996232,0.0001670398,0.00002578487,0.00008599654,0.00006012017,0.00003781112],"domain_scores_gemma":[0.9993643,0.0003716851,0.0001244188,0.0000608168,0.00006141744,0.00001732429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002184194,0.00008893073,0.163342,0.0004603094,0.001094261,0.002353873,0.0007910198,0.4706857,0.004538944,0.2343384,0.005256309,0.1168319],"study_design_scores_gemma":[0.00002508228,0.00007769762,0.08677274,0.0001461055,0.0001786992,0.0005913774,0.000236565,0.8461988,0.0009013465,0.05561792,0.009184007,0.0000696651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7796934,0.02564783,0.1642342,0.003092675,0.0003016569,0.00006539991,0.001335135,0.0002451289,0.02538454],"genre_scores_gemma":[0.9893746,0.004301935,0.004288032,0.00005828564,0.0001710554,0.00001386431,0.0002746326,0.00001975973,0.001497885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003755369,"threshold_uncertainty_score":0.007467031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007497367381024,"score_gpt":0.2369497294243286,"score_spread":0.1868747557505183,"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."}}