IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v213y2022ics0165176522000507.html
   My bibliography  Save this article

Where and about what? Price relevant narratives depend on topic and media type

Author

Listed:
  • Liu, Sha
  • Gaskell, Paul
  • McGroarty, Frank

Abstract

The role of traditional or social media-expressed tone on stock prices is nuanced. Negative tone of traditional media articles is much more likely to convey material information than web messages. Some topics, regardless of source, are unusually negative, causing fluctuations in investor sentiment and temporary price deviations.

Suggested Citation

  • Liu, Sha & Gaskell, Paul & McGroarty, Frank, 2022. "Where and about what? Price relevant narratives depend on topic and media type," Economics Letters, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:ecolet:v:213:y:2022:i:c:s0165176522000507
    DOI: 10.1016/j.econlet.2022.110363
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176522000507
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2022.110363?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Gu, Chen & Kurov, Alexander, 2020. "Informational role of social media: Evidence from Twitter sentiment," Journal of Banking & Finance, Elsevier, vol. 121(C).
    3. Michael S. Drake & Jacob R. Thornock & Brady J. Twedt, 2017. "The internet as an information intermediary," Review of Accounting Studies, Springer, vol. 22(2), pages 543-576, June.
    4. 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.
    5. 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.
    6. Jacob Boudoukh & Ronen Feldman & Shimon Kogan & Matthew Richardson, 2019. "Information, Trading, and Volatility: Evidence from Firm-Specific News," Review of Financial Studies, Society for Financial Studies, vol. 32(3), pages 992-1033.
    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. Liu, Sha, 2023. "Do investors and managers of active ETFs react to social media activities?," Finance Research Letters, Elsevier, vol. 51(C).

    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. Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2022. "Media-expressed tone, option characteristics, and stock return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    2. Thomas Renault, 2020. "Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages," Digital Finance, Springer, vol. 2(1), pages 1-13, September.
    3. Du, Hanyu & Hao, Jing & He, Feng & Xi, Wenze, 2022. "Media sentiment and cross-sectional stock returns in the Chinese stock market," Research in International Business and Finance, Elsevier, vol. 60(C).
    4. Qingbin Meng & Congyi Ju & Qinghua Huang & Song Wang, 2023. "The informativeness of investor communication with corporate insiders: Evidence from China," International Finance, Wiley Blackwell, vol. 26(2), pages 189-207, August.
    5. Akey, Pat & Grégoire, Vincent & Martineau, Charles, 2022. "Price revelation from insider trading: Evidence from hacked earnings news," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1162-1184.
    6. Möller, Rouven & Reichmann, Doron, 2023. "COVID-19 related TV news and stock returns: Evidence from major US TV stations," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 95-109.
    7. Brière, Marie & Huynh, Karen & Laudy, Olav & Pouget, Sébastien, 2023. "What do we Learn from a Machine Understanding: News Content? Stock Market Reaction to News," TSE Working Papers 23-1401, Toulouse School of Economics (TSE).
    8. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
    9. Miwa, Kotaro, 2022. "The informational role of analysts’ textual statements," Research in International Business and Finance, Elsevier, vol. 59(C).
    10. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.
    11. Bilal Hafeez & M. Humayun Kabir & Udomsak Wongchoti, 2022. "Are retail investors really passive? Shareholder activism in the digital age," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(3-4), pages 423-460, March.
    12. Ardia, David & Bluteau, Keven & Boudt, Kris, 2022. "Media abnormal tone, earnings announcements, and the stock market," Journal of Financial Markets, Elsevier, vol. 61(C).
    13. Katherine B. Ensor & Yu Han & Barbara Ostdiek & Stuart M. Turnbull, 2020. "Dynamic jump intensities and news arrival in oil futures markets," Journal of Asset Management, Palgrave Macmillan, vol. 21(4), pages 292-325, July.
    14. Bajo, Emanuele & Raimondo, Carlo, 2017. "Media sentiment and IPO underpricing," Journal of Corporate Finance, Elsevier, vol. 46(C), pages 139-153.
    15. Frijns, Bart & Huynh, Thanh D., 2018. "Herding in analysts’ recommendations: The role of media," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 1-18.
    16. John L. Campbell & Matthew D. DeAngelis & James R. Moon, 2019. "Skin in the game: personal stock holdings and investors’ response to stock analysis on social media," Review of Accounting Studies, Springer, vol. 24(3), pages 731-779, September.
    17. Dutta, Shantanu & Fuksa, Michel & Macaulay, Ken, 2019. "Determinants of MD&A sentiment in Canada," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 130-148.
    18. Yang, Shanxiang & Liu, Zhechen & Wang, Xinjie, 2020. "News sentiment, credit spreads, and information asymmetry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    19. Kim, Hee-Eun & Jo, Hoje & Ahn, Tae-Wook & Yi, Junesuh, 2022. "Corporate misconduct, media coverage, and stock returns," International Review of Financial Analysis, Elsevier, vol. 84(C).
    20. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).

    More about this item

    Keywords

    Negative tone; Traditional media; Social media; Textual analysis; Investor sentiment;
    All these keywords.

    JEL classification:

    • 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

    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:eee:ecolet:v:213:y:2022:i:c:s0165176522000507. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.