{"id":"W3085297482","doi":"10.1108/jdqs-01-2018-b0003","title":"A Study on the Effect of Geographic Diversification of Firms on Hedging Activity Using Derivatives","year":2018,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Fund administration; Manager of managers fund; Open-end fund; Closed-end fund; Mutual fund; Fund of funds; Target date fund; Business; Income fund; Finance; Investment fund; Reputation; Index fund; Sovereign wealth fund; Pooling; Investment management; Feeder fund; Umbrella fund; Performance fee; Incentive; Microeconomics; Economics; Institutional investor; Profit (economics); Return on investment; Open-ended investment company; Corporate governance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004894,0.0002112717,0.0002979025,0.0007125384,0.0003464912,0.001021856,0.0003364242,0.0004673888,0.002726198],"category_scores_gemma":[0.006974352,0.00007636302,0.0004474617,0.000915923,0.0004045773,0.0009351157,0.0005903336,0.0004411585,0.0001854067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000602217,"about_ca_system_score_gemma":0.0003494922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004752899,"about_ca_topic_score_gemma":0.004167649,"domain_scores_codex":[0.999495,0.0001848882,0.00003372004,0.0001033364,0.00009927585,0.00008378965],"domain_scores_gemma":[0.9883477,0.006057221,0.003634603,0.0005887815,0.0006175376,0.0007541246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003657805,0.0002587312,0.9646069,0.00007977546,0.0002512048,0.0007484779,0.000632225,0.003060117,0.002262207,0.001551554,0.0002359997,0.02594692],"study_design_scores_gemma":[0.00001663052,0.0004310069,0.9903172,0.00001804218,0.0002173048,0.0002488866,0.001393233,0.004107205,0.001243154,0.0007636891,0.001227885,0.00001563595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981857,0.0003852797,0.0002100338,0.00008098329,0.000002638251,0.000004784774,0.00004329703,0.000002769257,0.001084549],"genre_scores_gemma":[0.9994819,0.0001356302,0.00007662509,0.000009982876,0.000005014179,0.000001186073,0.00003468621,6.533597e-7,0.0002543729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004752899,"threshold_uncertainty_score":0.009450495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291480881740028,"score_gpt":0.3312569988774888,"score_spread":0.202108910703486,"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."}}