Cognitive Signaling of Critical Audit Matters: Behavioral Mechanisms, Information Asymmetry, And Audit Efficiency – Comparative Evidence from Egypt

Purpose and Design: This study aims to reconceptualize Critical Audit Matters (CAMs) as cognitive signals that convey the audi-tor’s mental processing, risk perception, and judgment complexity. Drawing on cognitive load theory, behavioral signaling theory, and information economics, the study investigates how the behavioral–textual attributes of CAMs influence information asym-metry and audit efficiency across different regulatory environments. Methods and Approach: Using empirical evidence from an emerging-market setting benchmarked against global standards, the study employs a mixed-methods design combining textual analysis, behavioral indicators, and panel data modeling. Linguistic fea-tures of CAMs-including readability, tone, uncertainty markers, and cognitive complexity-were quantified using Python-based textual analytics. Audit efficiency and information asymmetry were examined through multivariate regressions and cross-regime comparisons. Findings: Results reveal that CAMs with higher cognitive complexity and uncertainty signals tend to increase information asym-metry and prolong audit report lag, whereas clear, concise, and positively toned CAMs significantly enhance audit efficiency. Be-havioral–textual mechanisms mediate the relationship between auditor judgment and market information gaps, highlighting CAMs as powerful cognitive communication tools rather than mere disclosures. Originality and Value: This study is the first to integrate cognitive, behavioral, and textual theories into a unified framework for understanding CAMs. It provides new theoretical insights into auditors’ cognitive signaling processes and offers a robust empirical model relevant to PCAOB, ISA jurisdictions, and emerging markets. Theoretical, Practical, and Social Implications: The findings enrich audit disclosure theory, guide regulators toward enhancing CAM reporting quality, and strengthen investor protection by reducing information disparities.