{"id":"W3144690078","doi":"10.3390/jrfm14040154","title":"The Exposure of French and South Korean Firm Stock Returns to Exchange Rates and the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation France-Japon de l'EHESS","keywords":"Coronavirus disease 2019 (COVID-19); Exchange rate; Pandemic; Stock (firearms); Monetary economics; Liberian dollar; Us dollar; Volatility (finance); Stock exchange; Economics; Business; Financial crisis; 2019-20 coronavirus outbreak; Financial economics; Macroeconomics; Finance; Geography; Biology; Virology","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":[0.0008099338,0.0001671316,0.0001653551,0.0005381092,0.0002208484,0.001236564,0.0001341145,0.0006006085,0.002579335],"category_scores_gemma":[0.003078651,0.00007811096,0.0002906764,0.0005573454,0.0002535366,0.0006407626,0.000446403,0.0006447834,0.0001957925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008603172,"about_ca_system_score_gemma":0.0002720143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000226,"about_ca_topic_score_gemma":0.01775883,"domain_scores_codex":[0.9997159,0.00006976292,0.0000232482,0.00003941909,0.00004540841,0.0001062329],"domain_scores_gemma":[0.9967102,0.0007893943,0.00179448,0.0001558052,0.0002642226,0.0002858542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001306002,0.00007367189,0.9887033,0.00001210542,0.00009208082,0.0003296589,0.0002603224,0.001695333,0.0005808853,0.001002137,0.0004680801,0.006651888],"study_design_scores_gemma":[0.000003352723,0.00006699548,0.9961946,0.000006366715,0.00002271091,0.00007445166,0.0006303628,0.001926927,0.0001816169,0.0003072911,0.0005767199,0.000008595757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974816,0.0002026944,0.00007870796,0.0004950119,0.000005785665,0.000003056718,0.0001514005,0.000002205704,0.001579419],"genre_scores_gemma":[0.9994181,0.0001076007,0.00001505051,0.00003916675,0.000007769987,7.138166e-7,0.0001131096,3.766276e-7,0.0002981259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02000226,"threshold_uncertainty_score":0.03977168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582504510628562,"score_gpt":0.2557142023611277,"score_spread":0.2198891572548421,"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."}}