Journal Press India^®

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This study investigates the intricate relationship between corporate governance mechanisms and firm performance using advanced statistical modeling techniques. Drawing on recent theoretical and empirical literature, the research explores how board characteristics, ownership structures, and audit quality influence financial outcomes across diverse industries and institutional contexts. Employing multiple linear regression, logistic regression, and structural equation modeling (SEM), the study models both direct and mediating effects among governance variables. Results from these models aim to provide actionable insights for corporate policymakers, investors, and boards seeking to enhance firm accountability, transparency, and long-term performance. The study underscores the importance of context-specific governance strategies and supports evidence-based decision-making in corporate strategy.

Keywords

Board Characteristics; Ownership Structure; Audit Quality; ESG; Governance Indices; Risk Management; Machine Learning; Emerging Markets

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