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Manager sentiment, stock return, and the evolving information environment in post-IPO firms

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  • Yixi Ning

    (University of Houston – Victoria)

  • Sean Yang

    (EDF Energy North America)

  • Zhiwen Xiao

    (University of Houston)

Abstract

This study examines the evolving information environment in a sample of post-IPO firms from 2010 to 2020 by exploring the relationship between firm-level manager sentiments and excess buy-and-hold stock returns. We confirm that there is a negative relationship between the full-text manager sentiment and the long-term excess buy-and-hold returns from 1 to 12 months after corporate filings. However, there is no positive association between manager sentiment and contemporaneous (e.g., 4-day) event-window announcement returns as documented in prior studies. The mispricing effect captured by the firm-level manager sentiment is less severe in the later years post IPOs, indicating the degree of information asymmetry is a dynamic phenomenon as the firms become more established over time. We also find the manager sentiment from the section of Management Discussion and Analysis (MD&A) is less optimistic about the firm performance than the full-text manager sentiment, and there is no mispricing effect of the MD&A manager sentiment on stock returns. These findings shed valuable insights on the dynamic information environment in the post-IPO firms from a unique perspective.

Suggested Citation

  • Yixi Ning & Sean Yang & Zhiwen Xiao, 2024. "Manager sentiment, stock return, and the evolving information environment in post-IPO firms," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(1), pages 238-261, March.
    • Handle: RePEc:spr:jecfin:v:48:y:2024:i:1:d:10.1007_s12197-023-09653-8
    DOI: 10.1007/s12197-023-09653-8
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    References listed on IDEAS

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    1. Francis, Bill B. & Hasan, Iftekhar & Lothian, James R. & Sun, Xian, 2010. "The Signaling Hypothesis Revisited: Evidence from Foreign IPOs," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(1), pages 81-106, February.
    2. Price, S. McKay & Doran, James S. & Peterson, David R. & Bliss, Barbara A., 2012. "Earnings conference calls and stock returns: The incremental informativeness of textual tone," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 992-1011.
    3. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    4. Ritter, Jay R, 1991. "The Long-run Performance of Initial Public Offerings," Journal of Finance, American Finance Association, vol. 46(1), pages 3-27, March.
    5. Blau, Benjamin M. & DeLisle, Jared R. & Price, S. McKay, 2015. "Do sophisticated investors interpret earnings conference call tone differently than investors at large? Evidence from short sales," Journal of Corporate Finance, Elsevier, vol. 31(C), pages 203-219.
    6. Feng Li, 2010. "The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach," Journal of Accounting Research, Wiley Blackwell, vol. 48(5), pages 1049-1102, December.
    7. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    8. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    9. Ozmel, Umit & Trombley, Timothy E. & Yavuz, M. Deniz, 2019. "Outside Insiders: Does Access to Information Prior to an IPO Generate a Trading Advantage After the IPO?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(1), pages 303-334, February.
    10. Kieschnick, Robert & Moussawi, Rabih, 2018. "Firm age, corporate governance, and capital structure choices," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 597-614.
    11. Boone, Audra L. & White, Joshua T., 2015. "The effect of institutional ownership on firm transparency and information production," Journal of Financial Economics, Elsevier, vol. 117(3), pages 508-533.
    12. Loughran, Tim & Ritter, Jay R, 1995. "The New Issues Puzzle," Journal of Finance, American Finance Association, vol. 50(1), pages 23-51, March.
    13. Baron, David P, 1982. "A Model of the Demand for Investment Banking Advising and Distribution Services for New Issues," Journal of Finance, American Finance Association, vol. 37(4), pages 955-976, September.
    14. Evgeny Lyandres & Le Sun & Lu Zhang, 2008. "The New Issues Puzzle: Testing the Investment-Based Explanation," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2825-2855, November.
    15. Nittai K. Bergman & Sugata Roychowdhury, 2008. "Investor Sentiment and Corporate Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 46(5), pages 1057-1083, December.
    16. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
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