IDEAS home Printed from https://ideas.repec.org/p/zbw/vfsc17/168192.html
   My bibliography  Save this paper

CEO-speeches and stock returns

Author

Listed:
  • Bannier, Christina E.
  • Pauls, Thomas
  • Walter, Andreas

Abstract

We analyze the market reaction to the sentiment of the CEO speech at the Annual General Meeting (AGM). Adapting a finance-specific German dictionary based on Loughran and McDonald (2011), we find that CEO speeches' textual sentiment is significantly related to abnormal stock returns and trading volume around the AGM. Investors hence seem to perceive the speeches' sentiment as a valuable indicator of future firm performance.

Suggested Citation

  • Bannier, Christina E. & Pauls, Thomas & Walter, Andreas, 2017. "CEO-speeches and stock returns," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168192, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc17:168192
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/168192/1/VfS-2017-pid-3069.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    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. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    3. James Doran & David Peterson & S. Price, 2012. "Earnings Conference Call Content and Stock Price: The Case of REITs," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 402-434, August.
    4. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    5. Pesaran, M H & Deaton, Angus S, 1978. "Testing Non-Nested Nonlinear Regression Models," Econometrica, Econometric Society, vol. 46(3), pages 677-694, May.
    6. 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.
    7. MacKinnon, James G. & White, Halbert & Davidson, Russell, 1983. "Tests for model specification in the presence of alternative hypotheses : Some further results," Journal of Econometrics, Elsevier, vol. 21(1), pages 53-70, January.
    8. Tim Loughran & Bill McDonald, 2015. "The Use of Word Lists in Textual Analysis," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 1-11, January.
    9. Arslan-Ayaydin, Özgür & Boudt, Kris & Thewissen, James, 2016. "Managers set the tone: Equity incentives and the tone of earnings press releases," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 132-147.
    10. Monica Martinez-Blasco & Josep Garcia-Blandon & Josep Argiles-Bosch, 2015. "Does the informational role of the annual general meeting depend on a country’s legal tradition?," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 19(4), pages 849-873, November.
    11. Firth, M, 1981. "The Relative Information-Content Of The Release Of Financial Results Data By Firms," Journal of Accounting Research, Wiley Blackwell, vol. 19(2), pages 521-529.
    12. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    13. 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.
    14. 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.
    15. 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.
    16. Stephen P. Ferris & (Grace) Qing Hao & (Stella) Min-Yu Liao, 2013. "The Effect of Issuer Conservatism on IPO Pricing and Performance," Review of Finance, European Finance Association, vol. 17(3), pages 993-1027.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christina Bannier & Thomas Pauls & Andreas Walter, 2019. "Content analysis of business communication: introducing a German dictionary," Journal of Business Economics, Springer, vol. 89(1), pages 79-123, February.
    2. Katarina Böttcher & Kerstin Lopatta, 2020. "Gender-Sensitive Language in German Annual Reports," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 8(4), pages 1-1, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christina Bannier & Thomas Pauls & Andreas Walter, 2019. "Content analysis of business communication: introducing a German dictionary," Journal of Business Economics, Springer, vol. 89(1), pages 79-123, February.
    2. Yan Luo & Linying Zhou, 2020. "Textual tone in corporate financial disclosures: a survey of the literature," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 17(2), pages 101-110, September.
    3. Ahmed, Yousry & Elshandidy, Tamer, 2016. "The effect of bidder conservatism on M&A decisions: Text-based evidence from US 10-K filings," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 176-190.
    4. Maciej Wujec, 2021. "Analysis of the Financial Information Contained in the Texts of Current Reports: A Deep Learning Approach," JRFM, MDPI, vol. 14(12), pages 1-17, December.
    5. Carlini, Federico & Cucinelli, Doriana & Previtali, Daniele & Soana, Maria Gaia, 2020. "Don't talk too bad! stock market reactions to bank corporate governance news," Journal of Banking & Finance, Elsevier, vol. 121(C).
    6. Kothari, Pratik & Chance, Don M. & Ferris, Stephen P., 2021. "Bragging rights: Does corporate boasting imply value creation?," Journal of Corporate Finance, Elsevier, vol. 67(C).
    7. 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.
    8. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
    9. Bassyouny, Hesham & Abdelfattah, Tarek & Tao, Lei, 2022. "Narrative disclosure tone: A review and areas for future research," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 49(C).
    10. Dimitris Anastasiou & Apostolos Katsafados, 2023. "Bank deposits and textual sentiment: When an European Central Bank president's speech is not just a speech," Manchester School, University of Manchester, vol. 91(1), pages 55-87, January.
    11. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    12. Miwa, Kotaro, 2021. "Language barriers in analyst reports," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 223-236.
    13. Koulikidou, Kleopatra & Chantziaras, Antonios & Dedoulis, Emmanouil & Leventis, Stergios, 2023. "Regulatory enforcement, foreignness, and language negativity: Evidence from SEC comment letters," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 51(C).
    14. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
    15. Durnev, Art & Mangen, Claudine, 2020. "The spillover effects of MD&A disclosures for real investment: The role of industry competition," Journal of Accounting and Economics, Elsevier, vol. 70(1).
    16. Bian, Shibo & Jia, Dekui & Li, Ruihai & Sun, Wujun & Yan, Zhipeng & Zheng, Yingfei, 2021. "Can management tone predict IPO performance? – Evidence from mandatory online roadshows in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    17. Anand, Abhinav & Basu, Sankarshan & Pathak, Jalaj & Thampy, Ashok, 2021. "The impact of sentiment on emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 161-177.
    18. Kearney, Colm & Liu, Sha, 2014. "Textual sentiment in finance: A survey of methods and models," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 171-185.
    19. Onur Bayar & Emre Kesici, 2024. "The impact of social media on venture capital financing: evidence from Twitter interactions," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 195-224, January.
    20. Nadine Gatzert & Dinah Heidinger, 2020. "An Empirical Analysis of Market Reactions to the First Solvency and Financial Condition Reports in the European Insurance Industry," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 407-436, June.

    More about this item

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:vfsc17:168192. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vfsocea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.