{"id":"W4317824921","doi":"10.55365/1923.x2022.20.84","title":"Exchange Rate Determinants & Exchange Rate Risk Hedging: An Empirical Study Applied on the Case of a Tunisian Company","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Tunis","keywords":"Currency; Exchange rate; Foreign exchange risk; Hedge; Interest rate parity; Foreign exchange swap; Foreign exchange market; Derivatives market; Economics; Position (finance); Forward contract; Forward market; Business; Futures contract; Monetary economics; Econometrics; Financial economics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0200776,0.0002035344,0.0009224068,0.0001348798,0.0003728672,0.00004426612,0.0006941557,0.00002921437,0.0001938798],"category_scores_gemma":[0.00134729,0.0001424041,0.0001304902,0.0004447167,0.0001410385,0.0000791748,0.0004818712,0.0002250967,0.000008254717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003719358,"about_ca_system_score_gemma":0.00005864384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006309974,"about_ca_topic_score_gemma":0.0002153756,"domain_scores_codex":[0.9960643,0.001911927,0.001060746,0.0006037132,0.0001301785,0.0002291497],"domain_scores_gemma":[0.9946907,0.002671344,0.001365809,0.001131836,0.0000794435,0.00006090766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001921815,0.0004406909,0.01048458,0.0004197699,0.00003235712,0.00006117484,0.002616056,0.0001722565,0.000007074329,0.001306455,0.001828471,0.9824389],"study_design_scores_gemma":[0.003654113,0.003717184,0.1650156,0.001599313,0.0003690019,0.0009747017,0.004729946,0.05327542,0.0001134932,0.03108309,0.7337875,0.001680667],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898547,0.007720814,0.00009348467,0.000253149,0.0001791728,0.001010928,0.0001399508,0.000005558949,0.0007422232],"genre_scores_gemma":[0.9704067,0.02762494,0.0009949153,0.0005788899,0.00003901393,0.0001801644,0.000002006384,0.00001994122,0.0001534747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9807582,"threshold_uncertainty_score":0.6958537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2136613632790457,"score_gpt":0.4205321744732362,"score_spread":0.2068708111941905,"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."}}