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Do features that associate managers with a message magnify investors’ reactions to narrative disclosures?

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  • Asay, H. Scott
  • Libby, Robert
  • Rennekamp, Kristina M.

Abstract

We test whether investors react more strongly to narrative disclosures when the CEO's presence or association with the message is more salient in the disclosure, holding all other information constant. In our first experiment, we manipulate whether a CEO uses more personal pronouns (e.g., “I” and “our” rather than “the company” and “its”) in an assertion about whether the firm is “likely” or “unlikely” to win a lawsuit. We find investors' beliefs about the outcome of the lawsuit align more closely with the CEO's assertion when the disclosure contains more personal pronouns. Experiments 2 and 3 manipulate the extent of the CEO's association with the message and whether the disclosure contains good or bad news. In the second experiment, we manipulate whether a disclosure uses more personal pronouns. In the third experiment, we manipulate whether a disclosure does or does not contain a photo of the CEO. Both manipulations of association with the message lead to stronger reactions from investors in between-subjects tests. That is, when news is good (bad), including either more personal pronouns or the CEO's photo leads to more positive (negative) assessments of firm value. We also find that, within-subjects, both manipulations are perceived as indicating greater association with the message, but participants do not expect an effect on investment evaluations. In a fourth experiment, we provide additional evidence that personal pronoun usage affects investor reactions by increasing the perceived credibility of the disclosure.

Suggested Citation

  • Asay, H. Scott & Libby, Robert & Rennekamp, Kristina M., 2018. "Do features that associate managers with a message magnify investors’ reactions to narrative disclosures?," Accounting, Organizations and Society, Elsevier, vol. 68, pages 1-14.
    • Handle: RePEc:eee:aosoci:v:68-69:y:2018:i::p:1-14
    DOI: 10.1016/j.aos.2018.02.003
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    as
    1. David F. Larcker & Anastasia A. Zakolyukina, 2012. "Detecting Deceptive Discussions in Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 495-540, May.
    2. Kristina Rennekamp, 2012. "Processing Fluency and Investors’ Reactions to Disclosure Readability," Journal of Accounting Research, Wiley Blackwell, vol. 50(5), pages 1319-1354, December.
    3. Asay, H. Scott & Libby, Robert & Rennekamp, Kristina, 2018. "Firm performance, reporting goals, and language choices in narrative disclosures," Journal of Accounting and Economics, Elsevier, vol. 65(2), pages 380-398.
    4. Hun‐Tong Tan & Elaine Ying Wang & Bo Zhou, 2014. "When the Use of Positive Language Backfires: The Joint Effect of Tone, Readability, and Investor Sophistication on Earnings Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 52(1), pages 273-302, March.
    5. J. Edward Russo & Margaret G. Meloy & T. Jeffrey Wilks, 2000. "Predecisional Distortion of Information by Auditors and Salespersons," Management Science, INFORMS, vol. 46(1), pages 13-27, January.
    6. Angela K. Davis & Jeremy M. Piger & Lisa M. Sedor, 2012. "Beyond the Numbers: Measuring the Information Content of Earnings Press Release Language," Contemporary Accounting Research, John Wiley & Sons, vol. 29(3), pages 845-868, September.
    7. Li, Feng, 2008. "Annual report readability, current earnings, and earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 221-247, August.
    8. Doris M. Merkl-Davies & Niamh Brennan, 2007. "Discretionary disclosure strategies in corporate narratives : incremental information or impression management?," Open Access publications 10197/2907, Research Repository, University College Dublin.
    9. Baginski, Stephen P & Hassell, John M & Hillison, William A, 2000. "Voluntary Causal Disclosures: Tendencies and Capital Market Reaction," Review of Quantitative Finance and Accounting, Springer, vol. 15(4), pages 371-389, December.
    10. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
    11. Lisa Koonce & Marlys Gascho Lipe, 2010. "Earnings Trend and Performance Relative to Benchmarks: How Consistency Influences Their Joint Use," Journal of Accounting Research, Wiley Blackwell, vol. 48(4), pages 859-884, September.
    12. Schrand, Catherine M. & Zechman, Sarah L.C., 2012. "Executive overconfidence and the slippery slope to financial misreporting," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 311-329.
    13. Jeffrey Hales & Xi (Jason) Kuang & Shankar Venkataraman, 2011. "Who Believes the Hype? An Experimental Examination of How Language Affects Investor Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 49(1), pages 223-255, March.
    14. Angela K. Davis & Isho Tama†Sweet, 2012. "Managers’ Use of Language Across Alternative Disclosure Outlets: Earnings Press Releases versus MD&A," Contemporary Accounting Research, John Wiley & Sons, vol. 29(3), pages 804-837, September.
    15. 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.
    16. William J. Mayew & Mohan Venkatachalam, 2012. "The Power of Voice: Managerial Affective States and Future Firm Performance," Journal of Finance, American Finance Association, vol. 67(1), pages 1-44, February.
    17. D. Eric Hirst & Lisa Koonce & Shankar Venkataraman, 2007. "How Disaggregation Enhances the Credibility of Management Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 45(4), pages 811-837, September.
    18. Stephen P. Baginski & John M. Hassell & Michael D. Kimbrough, 2004. "Why Do Managers Explain Their Earnings Forecasts?," Journal of Accounting Research, Wiley Blackwell, vol. 42(1), pages 1-29, March.
    19. Benjamin Lansford & Baruch Lev & Jennifer Wu Tucker, 2013. "Causes and Consequences of Disaggregating Earnings Guidance," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(1-2), pages 26-54, January.
    20. Jennings, R, 1987. "Unsystematic Security Price Movements, Management Earnings Forecasts, And Revisions In Consensus Analyst Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 90-110.
    21. Amy P. Hutton & Gregory S. Miller & Douglas J. Skinner, 2003. "The Role of Supplementary Statements with Management Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 867-890, December.
    22. John M. Hassell & Robert H. Jennings & Dennis J. Lasser, 1988. "Management Earnings Forecasts: Their Usefulness As A Source Of Firm-Specific Information To Security Analysts," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 11(4), pages 303-319, December.
    23. Hirst, DE & Koonce, L & Miller, J, 1999. "The joint effect of management's prior forecast accuracy and the form of its financial forecasts on investor judgment," Journal of Accounting Research, Wiley Blackwell, vol. 37, pages 101-124.
    24. Libby, Robert & Rennekamp, Kristina M. & Seybert, Nicholas, 2015. "Regulation and the interdependent roles of managers, auditors, and directors in earnings management and accounting choice," Accounting, Organizations and Society, Elsevier, vol. 47(C), pages 25-42.
    25. Charles Ham & Mark Lang & Nicholas Seybert & Sean Wang, 2017. "CFO Narcissism and Financial Reporting Quality," Journal of Accounting Research, Wiley Blackwell, vol. 55(5), pages 1089-1135, December.
    26. Hodge, Frank & Hopkins, Patrick E. & Pratt, Jamie, 2006. "Management reporting incentives and classification credibility: The effects of reporting discretion and reputation," Accounting, Organizations and Society, Elsevier, vol. 31(7), pages 623-634, October.
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