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Managements’ tone strategies by earnings call transcripts in the global markets

Author

Listed:
  • Rei Yamamoto

    (Keio University)

  • Naoya Kawadai

    (Sumitomo Mitsui DS Asset Management Company, Limited)

  • Masataka Kurita

    (IFIS Investment Management Co., Ltd)

  • Satoshi Baba

    (Sumitomo Mitsui DS Asset Management Company, Limited
    IBM Japan, Ltd.)

Abstract

This paper proposes a new investment strategy by using earnings call transcripts in the global stock markets. For this study, we (i) conducted appropriate data-cleaning, (ii) adjusted announcements timing, and (iii) extracted the accurate tone of the management which is not affected by public financial information. An empirical analysis in the global stock markets confirmed a 7.07% annual return of the proposed strategy based on a long-short analysis. We also compared the proposed strategy with existing smart beta strategies and found out that its characteristics differ from those of existing factor strategies.

Suggested Citation

  • Rei Yamamoto & Naoya Kawadai & Masataka Kurita & Satoshi Baba, 2022. "Managements’ tone strategies by earnings call transcripts in the global markets," Journal of Asset Management, Palgrave Macmillan, vol. 23(3), pages 246-255, May.
  • Handle: RePEc:pal:assmgt:v:23:y:2022:i:3:d:10.1057_s41260-022-00256-2
    DOI: 10.1057/s41260-022-00256-2
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    References listed on IDEAS

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    1. 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.
    2. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    3. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    4. 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.
    5. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    6. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Robert Libby & James E. Hunton & Hun‐Tong Tan & Nicholas Seybert, 2008. "Retracted: Relationship Incentives and the Optimistic/Pessimistic Pattern in Analysts' Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 46(1), pages 173-198, March.
    9. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    10. Ang, Andrew, 2014. "Asset Management: A Systematic Approach to Factor Investing," OUP Catalogue, Oxford University Press, number 9780199959327.
    11. 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.
    12. Healy, Paul M. & Palepu, Krishna G., 2001. "Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 405-440, September.
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