Predicting Internal Control Over Financial Reporting Quality

ABSTRACT We draw on an extensive body of research on material weaknesses (MWs) in internal control over financial reporting and employ a robust empirical approach to develop a firm‐year measure of MW likelihood, denoted I ‐score. I ‐score reflects the likely presence of a MW and captures a key dimension of financial reporting quality. We present multiple MW models and demonstrate that I ‐score effectively predicts both MWs and financial restatements. Validated across multiple time periods, our I ‐scores significantly outperform those developed by prior research and are designed for wide applicability. Our results support the usefulness of I ‐score for academic researchers, investors, auditors, regulators and other financial market participants seeking a reliable, continuous measure of MW likelihood.

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Publication Details

Journal
International Journal of Auditing
Published
2026-06-29
DOI
https://doi.org/10.1111/ijau.70042
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
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article

Predicting Internal Control Over Financial Reporting Quality

Dana Wallace, Robin W. Roberts, Patricia Navarro, Patrick Ryu
International Journal of Auditing
Auditing, Earnings Management, Governance
article

Predicting Internal Control Over Financial Reporting Quality

Dana Wallace, Robin W. Roberts, Patricia Navarro, Patrick Ryu
article en

Abstract

ABSTRACT We draw on an extensive body of research on material weaknesses (MWs) in internal control over financial reporting and employ a robust empirical approach to develop a firm‐year measure of MW likelihood, denoted I ‐score. I ‐score reflects the likely presence of a MW and captures a key dimension of financial reporting quality. We present multiple MW models and demonstrate that I ‐score effectively predicts both MWs and financial restatements. Validated across multiple time periods, our I ‐scores significantly outperform those developed by prior research and are designed for wide applicability. Our results support the usefulness of I ‐score for academic researchers, investors, auditors, regulators and other financial market participants seeking a reliable, continuous measure of MW likelihood.

International Journal of Auditing
University of Central Florida (US), University of Nevada, Las Vegas (US), University of Manchester (GB)
Openalex Percentile: Top 3%
Auditing, Earnings Management, Governance
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