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Sentiment analysis and gender differences in earnings conference calls

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  • De Amicis, Chiara
  • Falconieri, Sonia
  • Tastan, Mesut

Abstract

We apply textual analysis to the transcripts of nearly 78,000 earnings conference calls between 2004 and 2018, comparing the difference in sentiment between female and male senior managers (CEOs and CFOs). We focus on two main measures of sentiment: tone and vagueness. Our contribution is twofold. Firstly, we show that female executives employ a more positive and less vague tone than their male colleagues during conference calls. The more positive and less vague tone of female executives does not reflect incremental information content but instead appears to be a linguistic feature that distinguishes female from male executives.

Suggested Citation

  • De Amicis, Chiara & Falconieri, Sonia & Tastan, Mesut, 2021. "Sentiment analysis and gender differences in earnings conference calls," Journal of Corporate Finance, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:corfin:v:71:y:2021:i:c:s0929119920302534
    DOI: 10.1016/j.jcorpfin.2020.101809
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    2. Baghdadi, Ghasan A. & Safiullah, Md & Heyden, Mariano L.M., 2023. "Do gender diverse boards enhance managerial ability?," Journal of Corporate Finance, Elsevier, vol. 79(C).
    3. Thomas R. Cook & Sophia Kazinnik & Anne Lundgaard Hansen & Peter McAdam, 2023. "Evaluating Local Language Models: An Application to Bank Earnings Calls," Research Working Paper RWP 23-12, Federal Reserve Bank of Kansas City.

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