{"id":"W3135078747","doi":"10.5539/ijef.v13n4p1","title":"Maximizing Stockholder Wealth under Corporate Governance Mechanisms: Evidence from EGX","year":2021,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shareholder; Corporate governance; Dividend; Principal–agent problem; Stock exchange; Agency (philosophy); Agency cost; Sample (material); Accounting; Business; Dividend policy; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004193314,0.0001597956,0.0001635467,0.0007969311,0.0004770649,0.001570857,0.0003883853,0.0005332542,0.002908063],"category_scores_gemma":[0.01038947,0.0001210451,0.0001281392,0.0007248471,0.001417735,0.001540061,0.00112175,0.0005451332,0.0001697874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000799392,"about_ca_system_score_gemma":0.0006014107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00364869,"about_ca_topic_score_gemma":0.004235672,"domain_scores_codex":[0.9987074,0.0005557175,0.0001010703,0.0001465952,0.0003264554,0.0001627439],"domain_scores_gemma":[0.9849362,0.007988721,0.004982904,0.0006677316,0.0009949479,0.0004294197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004824791,0.0005495459,0.9143277,0.0003323207,0.0001755063,0.0007517611,0.01653279,0.0003907131,0.0007126851,0.01173263,0.000778236,0.05323358],"study_design_scores_gemma":[0.00002742019,0.0003145679,0.9738379,0.0002698815,0.00008791951,0.0001768859,0.01682747,0.0003872091,0.0006443328,0.002034381,0.005382032,0.0000100312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994517,0.000699064,0.00007714822,0.0003036875,0.000001891166,0.000008397059,0.0000311753,6.908923e-7,0.004360887],"genre_scores_gemma":[0.9990138,0.000462701,0.00004807631,0.00005675572,0.000003404788,0.00000214888,0.00002887816,5.62727e-7,0.000383546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004193314,"threshold_uncertainty_score":0.02217668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488616997143635,"score_gpt":0.2265911306167979,"score_spread":0.1817049606453615,"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."}}