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Engagement in earnings conference calls

Author

Listed:
  • Rennekamp, Kristina M.
  • Sethuraman, Mani
  • Steenhoven, Blake A.

Abstract

Research on conference calls documents that the question and answer (Q&A) portion is informative to markets. However, prior studies focus on the attributes of the participating individuals, primarily managers and analysts. We instead use the conversation as our unit of analysis, and examine whether conversational engagement between managers and analysts in earnings calls is informative to market participants. Using an experiment, we first demonstrate that linguistic style matching (LSM), a form of verbal coordination, is a reasonable empirical proxy for conversational engagement. We next use a quasi-experiment to confirm that investors can detect differences in engagement. Finally, using a hand-collected archival dataset comprised of audio recordings and textual transcripts from over 2400 earnings calls, we show that LSM in manager-analyst conversations during the Q&A is positively associated with absolute stock returns during the conversation, suggesting that conversations with greater engagement are more informative to capital markets and facilitate price formation.

Suggested Citation

  • Rennekamp, Kristina M. & Sethuraman, Mani & Steenhoven, Blake A., 2022. "Engagement in earnings conference calls," Journal of Accounting and Economics, Elsevier, vol. 74(1).
  • Handle: RePEc:eee:jaecon:v:74:y:2022:i:1:s0165410122000210
    DOI: 10.1016/j.jacceco.2022.101498
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    References listed on IDEAS

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    1. Atiase, Rk, 1985. "Predisclosure Information, Firm Capitalization, And Security Price Behavior Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 21-36.
    2. Brian J. Bushee & Ian D. Gow & Daniel J. Taylor, 2018. "Linguistic Complexity in Firm Disclosures: Obfuscation or Information?," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 85-121, March.
    3. 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.
    4. 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.
    5. Elizabeth Blankespoor & Ed Dehaan & John Wertz & Christina Zhu, 2019. "Why Do Individual Investors Disregard Accounting Information? The Roles of Information Awareness and Acquisition Costs," Journal of Accounting Research, Wiley Blackwell, vol. 57(1), pages 53-84, March.
    6. Li, Feng & Minnis, Michael & Nagar, Venky & Rajan, Madhav, 2014. "Knowledge, compensation, and firm value: An empirical analysis of firm communication," Journal of Accounting and Economics, Elsevier, vol. 58(1), pages 96-116.
    7. O. E. Barndorff-Nielsen & P. Reinhard Hansen & A. Lunde & N. Shephard, 2009. "Realized kernels in practice: trades and quotes," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 1-32, November.
    8. 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.
    9. 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.
    10. Stephan Hollander & Maarten Pronk & Erik Roelofsen, 2010. "Does Silence Speak? An Empirical Analysis of Disclosure Choices During Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 48(3), pages 531-563, June.
    11. 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.
    12. Frankel, R & Johnson, M & Skinner, DJ, 1999. "An empirical examination of conference calls as a voluntary disclosure medium," Journal of Accounting Research, Wiley Blackwell, vol. 37(1), pages 133-150.
    13. Bozanic, Zahn & Roulstone, Darren T. & Van Buskirk, Andrew, 2018. "Management earnings forecasts and other forward-looking statements," Journal of Accounting and Economics, Elsevier, vol. 65(1), pages 1-20.
    14. Tim Loughran & Jay Ritter, 2004. "Why Has IPO Underpricing Changed Over Time?," Financial Management, Financial Management Association, vol. 33(3), Fall.
    15. Brown, Lawrence D. & Call, Andrew C. & Clement, Michael B. & Sharp, Nathan Y., 2019. "Managing the narrative: Investor relations officers and corporate disclosure✰," Journal of Accounting and Economics, Elsevier, vol. 67(1), pages 58-79.
    16. Robert Libby & Kristina Rennekamp, 2012. "Self‐Serving Attribution Bias, Overconfidence, and the Issuance of Management Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 50(1), pages 197-231, March.
    17. 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.
    18. 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.
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    More about this item

    Keywords

    Conference calls; Linguistic style matching; Engagement; Price formation; Market microstructure;
    All these keywords.

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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