Dissecting Earnings Recognition Timeliness
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DOI: 10.1111/1475-679X.12018
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Citations
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Cited by:
- Babii, Andrii & Ball, Ryan T. & Ghysels, Eric & Striaukas, Jonas, 2023.
"Machine learning panel data regressions with heavy-tailed dependent data: Theory and application,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Andrii Babii & Ryan T. Ball & Eric Ghysels & Jonas Striaukas, 2020. "Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application," Papers 2008.03600, arXiv.org, revised Nov 2021.
- Ghysels, Eric & Ball, Ryan & Zhou, Huan, 2014. "Can we Automate Earnings Forecasts and Beat Analysts?," CEPR Discussion Papers 10186, C.E.P.R. Discussion Papers.
- Manuel Cano-Rodríguez & Manuel Núñez-Nickel, 2015. "Aggregation Bias in Estimates of Conditional Conservatism: Theory and Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 42(1-2), pages 51-78, January.
- Ryan T. Ball & Eric Ghysels, 2018. "Automated Earnings Forecasts: Beat Analysts or Combine and Conquer?," Management Science, INFORMS, vol. 64(10), pages 4936-4952, October.
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