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Disclosure of internal control material weaknesses and optimism in analyst earnings forecasts

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  • Li, Wanyun

Abstract

This paper investigates how analyst forecast optimism is associated with disclosures of internal control material weaknesses (ICMWs) and their remediation under Section 404 of the Sarbanes–Oxley Act (SOX). Drawing on agency theory, I hypothesize that analysts are likely to issue earnings forecasts that are more optimistic for firms with ICMW disclosures than for those without ICMW disclosures. Using a sample of 20,875 firm-year observations with 10-K (10-Q) reports from 2004 to 2018, I find a positive association between ICMW disclosures and analyst forecast optimism. This positive association is partially driven by investors’ inability to unravel analyst forecast bias and analysts’ intentions to curry favor with management for private information. In addition, analysts are found to issue less optimistic forecasts for firms with ICMW remediation disclosures compared with those without ICMW remediation disclosures. A series of propensity score matching and regression analyses are conducted to test the robustness of my inferences. Overall, the paper suggests that analysts have incentives to take the opportunity of firms disclosing ICMWs to bias their forecasts upward for self-interest. The findings have the potential to assist regulators in guiding analyst behavior and educating investors to unravel positive bias in analyst forecasts.

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  • Li, Wanyun, 2022. "Disclosure of internal control material weaknesses and optimism in analyst earnings forecasts," International Journal of Accounting Information Systems, Elsevier, vol. 44(C).
  • Handle: RePEc:eee:ijoais:v:44:y:2022:i:c:s1467089521000476
    DOI: 10.1016/j.accinf.2021.100545
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    1. Jana Smith Raedy & Philip Shane & Yanhua Yang, 2006. "Horizon†Dependent Underreaction in Financial Analysts' Earnings Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 23(1), pages 291-322, March.
    2. George Batta & Volkan Muslu, 2017. "Credit Rating Agency and Equity Analysts’ Adjustments to GAAP Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 34(2), pages 783-817, June.
    3. Boris Groysberg & Paul M. Healy & David A. Maber, 2011. "What Drives Sell‐Side Analyst Compensation at High‐Status Investment Banks?," Journal of Accounting Research, Wiley Blackwell, vol. 49(4), pages 969-1000, September.
    4. Ka Wai Choi & Xiaomeng Chen & Sue Wright & Hai Wu, 2014. "Analysts' Forecasts Following Forced CEO Changes," Abacus, Accounting Foundation, University of Sydney, vol. 50(2), pages 146-173, June.
    5. William J. Mayew, 2008. "Evidence of Management Discrimination Among Analysts during Earnings Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 46(3), pages 627-659, June.
    6. Tristan Roger, 2018. "The coverage assignments of financial analysts," Accounting and Business Research, Taylor & Francis Journals, vol. 48(6), pages 651-673, September.
    7. Chung, Sung Gon & Louis, Henock, 2017. "Earnings announcements and option returns," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 220-235.
    8. Hefei Wang, 2009. "Reputation acquisition of underwriter analysts - Theory and evidence," Journal of Applied Economics, Universidad del CEMA, vol. 12, pages 331-363, November.
    9. Mascha, Maureen Francis & Lamboy-Ruiz, Melvin A. & Janvrin, Diane J., 2018. "PCAOB inspections: An analysis of entity-level and application-level control audit deficiencies," International Journal of Accounting Information Systems, Elsevier, vol. 30(C), pages 19-39.
    10. Walid Alissa, 2015. "Boards' Response to Shareholders' Dissatisfaction: The Case of Shareholders' Say on Pay in the UK," European Accounting Review, Taylor & Francis Journals, vol. 24(4), pages 727-752, December.
    11. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    12. Robert Felix & Amanda Wilford, 2019. "Does it pay to remediate? An analysis of the internal and external benefits of remediation," Accounting and Business Research, Taylor & Francis Journals, vol. 49(2), pages 181-205, February.
    13. Green, T. Clifton & Jame, Russell & Markov, Stanimir & Subasi, Musa, 2014. "Access to management and the informativeness of analyst research," Journal of Financial Economics, Elsevier, vol. 114(2), pages 239-255.
    14. Barniv, Ran R. & Cao, Jian, 2009. "Does information uncertainty affect investors' responses to analysts' forecast revisions? An investigation of accounting restatements," Journal of Accounting and Public Policy, Elsevier, vol. 28(4), pages 328-348, July.
    15. Eugene Soltes, 2014. "Private Interaction Between Firm Management and Sell‐Side Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 52(1), pages 245-272, March.
    16. Gu, Zhaoyang & Wu, Joanna Shuang, 2003. "Earnings skewness and analyst forecast bias," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 5-29, April.
    17. Lian Fen Lee & Alvis K. Lo, 2016. "Do Opinions on Financial Misstatement Firms Affect Analysts’ Reputation with Investors? Evidence from Reputational Spillovers," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1111-1148, September.
    18. Chen, Shuping & Matsumoto, Dawn & Rajgopal, Shiva, 2011. "Is silence golden? An empirical analysis of firms that stop giving quarterly earnings guidance," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 134-150, February.
    19. April Knill & Kristina Minnick & Ali Nejadmalayeri, 2012. "Experience, information asymmetry, and rational forecast bias," Review of Quantitative Finance and Accounting, Springer, vol. 39(2), pages 241-272, August.
    20. Kim, Yongtae & Park, Myung Seok, 2009. "Market uncertainty and disclosure of internal control deficiencies under the Sarbanes-Oxley Act," Journal of Accounting and Public Policy, Elsevier, vol. 28(5), pages 419-445, September.
    21. Chen, Shuping & Matsumoto, Dawn & Rajgopal, Shiva, 2011. "Is silence golden? An empirical analysis of firms that stop giving quarterly earnings guidance," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 134-150.
    22. K. Hung Chan & Ray R. Wang & Ruixin Wang, 2021. "The Macbeth Factor: The Dark Side of Achievement‐driving Analysts," Abacus, Accounting Foundation, University of Sydney, vol. 57(2), pages 325-361, June.
    23. Arnold, Vicky & Bedard, Jean C. & Phillips, Jillian R. & Sutton, Steve G., 2011. "Do section 404 disclosures affect investors' perceptions of information systems reliability and stock price predictions?," International Journal of Accounting Information Systems, Elsevier, vol. 12(4), pages 243-258.
    24. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2003. "The effect of experience on security analyst underreaction," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 101-116, April.
    25. Efrim Boritz, J. & Hayes, Louise & Timoshenko, Lev M., 2020. "How understandable are SOX 404 auditors reports?," International Journal of Accounting Information Systems, Elsevier, vol. 39(C).
    26. Jin Woo Chang & Hae Mi Choi, 2017. "Analyst Optimism and Incentives under Market Uncertainty," The Financial Review, Eastern Finance Association, vol. 52(3), pages 307-345, August.
    27. Philip Shane & Peter Brous, 2001. "Investor and (Value Line) Analyst Underreaction to Information about Future Earnings: The Corrective Role of Non‐Earnings‐Surprise Information," Journal of Accounting Research, Wiley Blackwell, vol. 39(2), pages 387-404, September.
    28. Dan Amiram & Wayne R. Landsman & Edward L. Owens & Stephen R. Stubben, 2018. "How are analysts’ forecasts affected by high uncertainty?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 45(3-4), pages 295-318, March.
    29. Hefei Wang, 2009. "Reputation Acquisition of Underwriter Analysts — Theory and Evidence," Journal of Applied Economics, Taylor & Francis Journals, vol. 12(2), pages 331-363, November.
    30. Li Xu & Alex Tang, 2012. "Internal control material weakness, analysts’ accuracy and bias, and brokerage reputation," Review of Quantitative Finance and Accounting, Springer, vol. 39(1), pages 27-53, July.
    31. Orie E. Barron & Donal Byard & Lihong Liang, 2013. "Analyst Pessimism and Forecast Timing," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(5-6), pages 719-739, June.
    32. Bin Ke & Yong Yu, 2006. "The Effect of Issuing Biased Earnings Forecasts on Analysts' Access to Management and Survival," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 965-999, December.
    33. Platikanova, Petya & Mattei, Marco Maria, 2016. "Firm geographic dispersion and financial analysts’ forecasts," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 71-89.
    34. Andrew R. Jackson, 2005. "Trade Generation, Reputation, and Sell‐Side Analysts," Journal of Finance, American Finance Association, vol. 60(2), pages 673-717, April.
    35. Irene Karamanou, 2011. "On the Determinants of Optimism in Financial Analyst Earnings Forecasts: The Effect of the Market's Ability to Adjust for the Bias," Abacus, Accounting Foundation, University of Sydney, vol. 47(1), pages 1-26, March.
    36. Lin, Wen-Chun & Chang, Shao-Chi & Chen, Sheng-Syan & Liao, Tsai-Ling, 2013. "The over-optimism of financial analysts and the long-run performance of firms following private placements of equity," Finance Research Letters, Elsevier, vol. 10(2), pages 82-92.
    37. David Easley & Maureen O'hara, 2004. "Information and the Cost of Capital," Journal of Finance, American Finance Association, vol. 59(4), pages 1553-1583, August.
    38. Sun, Qian & Cheng, Xiaoke & Gao, Shenghao & Yang, Mingjing, 2020. "Are SEO investors misled by analyst optimism bias? Evidence from investor bids in SEO auctions," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 90-104.
    39. Allen H. Huang & Reuven Lehavy & Amy Y. Zang & Rong Zheng, 2018. "Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach," Management Science, INFORMS, vol. 64(6), pages 2833-2855, June.
    40. Yuyan Guan & Congcong Li & Hai Lu & M. H. Franco Wong, 2019. "Regulations and Brain Drain: Evidence from Wall Street Star Analysts’ Career Choices," Management Science, INFORMS, vol. 65(12), pages 5766-5784, December.
    41. Doukas, John A. & Kim, Chansog (Francis) & Pantzalis, Christos, 2006. "Divergence of Opinion and Equity Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(3), pages 573-606, September.
    42. Cheng, Mei & Dhaliwal, Dan & Zhang, Yuan, 2013. "Does investment efficiency improve after the disclosure of material weaknesses in internal control over financial reporting?," Journal of Accounting and Economics, Elsevier, vol. 56(1), pages 1-18.
    43. Peter O. Christensen & Hans Frimor & Florin Sabac, 2013. "The Stewardship Role of Analyst Forecasts, and Discretionary Versus Non-discretionary Accruals," European Accounting Review, Taylor & Francis Journals, vol. 22(2), pages 257-296, June.
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