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An Investigation of Analysts' Praise of Management During Earnings Conference Calls

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  • Jonathan A. Milian
  • Antoinette L. Smith

Abstract

Through the textual analysis of a large sample of earnings conference calls, the authors find that analysts praise management on over half of earnings conference calls by saying complimentary phrases such as “congratulations on the great quarter.” The results show that analysts' complimentary phrases reflect the nature of the information released at the earnings announcement. The authors find that the amount of praise by analysts on an earnings conference call is strongly associated with the earnings surprise and to a greater extent the earnings announcement stock return. They also find that there is value to investors in tracking analysts' flattery of management during earnings conference calls, as it predicts abnormal stock returns over the following quarter. The findings, which are incremental to prior research on the tone of earnings conference calls, highlight a previously ignored aspect of analyst feedback.

Suggested Citation

  • Jonathan A. Milian & Antoinette L. Smith, 2017. "An Investigation of Analysts' Praise of Management During Earnings Conference Calls," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(1), pages 65-77, January.
    • Handle: RePEc:taf:hbhfxx:v:18:y:2017:i:1:p:65-77
    DOI: 10.1080/15427560.2017.1276068
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    Citations

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    Cited by:

    1. Devrimi Kaya & Christian Maier & Tobias Böhmer, 2020. "Empirische Kapitalmarktforschung zu Conference Calls: Eine Literaturanalyse [Empirical Capital Market Research on Conference Calls: A Literature Review]," Schmalenbach Journal of Business Research, Springer, vol. 72(2), pages 183-212, June.
    2. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    3. Andrew Todd & James Bowden & Yashar Moshfeghi, 2024. "Text‐based sentiment analysis in finance: Synthesising the existing literature and exploring future directions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(1), March.
    4. Chen, Yuan & Han, Dongmei & Zhou, Xiaofeng, 2023. "Mining the emotional information in the audio of earnings conference calls : A deep learning approach for sentiment analysis of securities analysts' follow-up behavior," International Review of Financial Analysis, Elsevier, vol. 88(C).
    5. De Franco, Gus & Shohfi, Thomas & Xu, Da & Zhu, Zhiwei (Vivi), 2023. "Fixed income conference calls," Journal of Accounting and Economics, Elsevier, vol. 75(1).

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