Enterprise Risk Management and Management Earnings Forecasts

Enterprise risk management (ERM) is an institutional agenda emphasizing holistic risk oversight and strategic planning. This study examines whether and how the adoption of ERM affects management earnings forecasts. We first document that ERM adoption increases the likelihood and accuracy of management earnings forecasts. We then provide evidence that ERM adoption improves forecast quality by reducing the volatility of fundamentals and enhancing managers’ ability to assess both internal and external information. Finally, we find that the positive effect of ERM in improving forecast accuracy is more pronounced for long-horizon forecasts, consistent with ERM’s long-term strategic focus. Collectively, our results shed light on how ERM adoption improves the quality of a key voluntary disclosure—management forecasts. This paper was accepted by Ranjani Krishnan, accounting. Funding: C. Li thanks the C.A. Scupin professorship at the University of Kansas, L. Sun thanks the Barney A. Coda professorship at the University of North Texas, and J. Xu gratefully acknowledges the G. Brint Ryan College of Business Summer Research Grant at the University of North Texas. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2022.01120 .

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Publication Details

Journal
Management Science
Published
2025-09-04
DOI
https://doi.org/10.1287/mnsc.2022.01120
Citations
3
Primary Topic
Risk Management in Financial Firms
Type
article
Field-Weighted Citation Impact
11.73
Controls
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article

Enterprise Risk Management and Management Earnings Forecasts

Kristin Stack, Jianren Xu, Lili Sun, Chan Li
3 citations
Management Science
Risk Management in Financial Firms
11.73
article

Enterprise Risk Management and Management Earnings Forecasts

Kristin Stack, Jianren Xu, Lili Sun, Chan Li
article en
3 citations

Abstract

Enterprise risk management (ERM) is an institutional agenda emphasizing holistic risk oversight and strategic planning. This study examines whether and how the adoption of ERM affects management earnings forecasts. We first document that ERM adoption increases the likelihood and accuracy of management earnings forecasts. We then provide evidence that ERM adoption improves forecast quality by reducing the volatility of fundamentals and enhancing managers’ ability to assess both internal and external information. Finally, we find that the positive effect of ERM in improving forecast accuracy is more pronounced for long-horizon forecasts, consistent with ERM’s long-term strategic focus. Collectively, our results shed light on how ERM adoption improves the quality of a key voluntary disclosure—management forecasts. This paper was accepted by Ranjani Krishnan, accounting. Funding: C. Li thanks the C.A. Scupin professorship at the University of Kansas, L. Sun thanks the Barney A. Coda professorship at the University of North Texas, and J. Xu gratefully acknowledges the G. Brint Ryan College of Business Summer Research Grant at the University of North Texas. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2022.01120 .

Management Science
University of North Texas (US), University of Kansas (US)
Openalex Percentile: Top 2%
Risk Management in Financial Firms
11.73
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