Gone But Not Forgotten: Investor Reaction to Excluded Recurring Expenses.
Journal of Accounting & Economics, Vol. 80, August 2025, 101799.
Laura Kettell (Ph.D. 2023) and John McInnis.
Journal of Accounting & Economics, Vol. 73, Issue 1, February 2022
Dain Donelson, Laura Kettell (Ph.D. ’23), John McInnis, and Sara Toynbee
Journal of Accounting & Economics, Vol. 75, Issues 2–3, 2023
Andrew Belnap, Anthony Welsch (Ph.D. 2023), and Braden Williams
Do Accounting Earnings Provide Useful Information for State Tax Revenue Forecasts?
Review of Accounting Studies, 2025, Vol. 30 (1): 813–859
Anthony Welsch (Ph.D. 2023), Lil Mills, and Brady Williams
Interest in the Short Interest: The Rise of Private Sector Data.
Contemporary Accounting Research, forthcoming
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The Relevance and Pricing of Non-income Tax Relief.
Contemporary Accounting Research, 2022, Vol. 39 (3): 1797–1833
Michael Drake, Ryan Hess (Ph.D. ’21), Jaron Wilde, and Brady Williams
Quasi-Insider Shareholder Activism: Corporate Governance at the Periphery of Control
Review of Corporate Finance Studies, 2025
Johnathan Cohn, Mitch Towner (Ph.D. ’15), and Aazam Vir
Why Is the Fragmented Municipal Bond Market So Costly to Investors and Issuers?
Journal of Economic Perspectives, 2025
Samuel Kruger, John Griffin, and Nicholas Hirschey (Ph.D. ’12)
Currency Management by International Fixed Income Mutual Funds
Journal of Finance, 2024
Clemens Sialm and Qifei Zhu (Ph.D. ‘18)
The Negativity Bias and Perceived Return Distributions: Evidence from a Pandemic
Journal of Financial Economics, 2023
Laura Stark, Richard Sias (Ph.D. ‘92) and H. Turtle
Self-enforcing Contracts with Persistence
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Score Forgetting Distillation: A Swift, Data-Free Method for MU in Diffusion Models.
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A machine learning framework for assessing experts’ decision quality.
Management Science, 71. 2024.
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Feihong Hu, Daniel Mitchell, Stathis Tompaidis.
Peer influence in the workplace: Evidence from an enterprise digital platform.
MIS Quarterly, 48(4), 1559-1574. 2024.
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Countering State-Controlled Media Propaganda Through Labeling: Evidence from Facebook.
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Moravec, P., Collis, A., & Wolczynki, N.
Algorithmic Social Injustice: Antecedents and Mitigations.
MIS Quarterly, forthcoming.
Tanriverdi, H. and Akinyemi, J.O.
Partially interpretable estimators (PIE): black-box-refined interpretable machine learning.
Informs Journal of Computing (IJOC), 2025.
Wang, T., Yang, J., Li, Y., and Wang, B.,