{"id":"W7124539712","doi":"10.5937/ekonhor2502135g","title":"Energy-related uncertainty and stock market volatility: Evidence from the wealthiest economies in the world through the GARCH-MIDAS approach","year":2025,"lang":"en","type":"article","venue":"Ekonomski horizonti","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Stock market; Stock (firearms); China; Stock market index; Emerging markets; Developed country","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004345794,0.0002179725,0.0002463543,0.001553225,0.0001975916,0.0007726829,0.000122935,0.0001744019,0.0006268125],"category_scores_gemma":[0.001755336,0.0001035882,0.000394636,0.002066387,0.0002513166,0.0007195751,0.000473124,0.0002613891,0.00009333701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898276,"about_ca_system_score_gemma":0.0001956894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009279088,"about_ca_topic_score_gemma":0.01189325,"domain_scores_codex":[0.9998825,0.00002111979,0.0000138783,0.00001752873,0.00004052844,0.00002453754],"domain_scores_gemma":[0.9987031,0.0003580038,0.0006734324,0.00006994267,0.0001115869,0.0000839798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006388377,0.00002662143,0.9880559,0.00002476936,0.0001913335,0.0002179569,0.0002399031,0.001347133,0.0004530585,0.000602468,0.000134124,0.00864275],"study_design_scores_gemma":[0.000002030466,0.00003854148,0.9965823,0.00001660501,0.00005347951,0.0001040445,0.0003612012,0.001720926,0.0002811671,0.0003334872,0.0004984484,0.000007783059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998092,0.0004601585,0.0001668527,0.00005826894,0.000002302439,0.000002281626,0.0002220738,0.000002561111,0.0009935182],"genre_scores_gemma":[0.9991137,0.0004456509,0.00007106864,0.000007342763,0.00000661679,0.000001011461,0.0002787725,8.617013e-7,0.00007495836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009279088,"threshold_uncertainty_score":0.0184502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953330956488543,"score_gpt":0.245908484291526,"score_spread":0.2163751747266406,"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."}}