IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2410.01987.html
   My bibliography  Save this paper

Financial Sentiment Analysis on News and Reports Using Large Language Models and FinBERT

Author

Listed:
  • Yanxin Shen
  • Pulin Kirin Zhang

Abstract

Financial sentiment analysis (FSA) is crucial for evaluating market sentiment and making well-informed financial decisions. The advent of large language models (LLMs) such as BERT and its financial variant, FinBERT, has notably enhanced sentiment analysis capabilities. This paper investigates the application of LLMs and FinBERT for FSA, comparing their performance on news articles, financial reports and company announcements. The study emphasizes the advantages of prompt engineering with zero-shot and few-shot strategy to improve sentiment classification accuracy. Experimental results indicate that GPT-4o, with few-shot examples of financial texts, can be as competent as a well fine-tuned FinBERT in this specialized field.

Suggested Citation

  • Yanxin Shen & Pulin Kirin Zhang, 2024. "Financial Sentiment Analysis on News and Reports Using Large Language Models and FinBERT," Papers 2410.01987, arXiv.org.
    • Handle: RePEc:arx:papers:2410.01987
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2410.01987
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    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. Jiao Ji & Oleksandr Talavera & Shuxing Yin, 2018. "The Hidden Information Content: Evidence from the Tone of Independent Director Reports," Working Papers 2018-28, Swansea University, School of Management.
    2. Umar, Tarik, 2022. "Complexity aversion when SeekingAlpha," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    3. Chris Florackis & Christodoulos Louca & Roni Michaely & Michael Weber & Itay Goldstein, 2023. "Cybersecurity Risk," The Review of Financial Studies, Society for Financial Studies, vol. 36(1), pages 351-407.
    4. Liu, Pu & Nguyen, Hazel T., 2020. "CEO characteristics and tone at the top inconsistency," Journal of Economics and Business, Elsevier, vol. 108(C).
    5. Kladakis, George & Chen, Lei & Bellos, Sotirios K., 2023. "Ethical bank disclosures and liquidity creation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    6. 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).
    7. Leilane de Freitas Rocha Cambara & Roberto Meurer, 2023. "News sentiment and foreign portfolio investment in Brazil," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3332-3348, July.
    8. Tarek A Hassan & Stephan Hollander & Laurence van Lent & Ahmed Tahoun, 2019. "Firm-Level Political Risk: Measurement and Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2135-2202.
    9. Eghbal Rahimikia & Stefan Zohren & Ser-Huang Poon, 2021. "Realised Volatility Forecasting: Machine Learning via Financial Word Embedding," Papers 2108.00480, arXiv.org, revised Nov 2024.
    10. Gao, Lei & Calderon, Thomas G. & Tang, Fengchun, 2020. "Public companies' cybersecurity risk disclosures," International Journal of Accounting Information Systems, Elsevier, vol. 38(C).
    11. Pastwa, Anna M. & Shrestha, Prabal & Thewissen, James & Torsin, Wouter, 2021. "Unpacking the black box of ICO white papers: a topic modeling approach," LIDAM Discussion Papers LFIN 2021018, Université catholique de Louvain, Louvain Finance (LFIN).
    12. Minxing Sun & Weike Xu, 2024. "Short selling and readability in financial disclosures: A controlled experiment," The Financial Review, Eastern Finance Association, vol. 59(2), pages 265-292, May.
    13. Muhammad Farhan Malik & Yuan George Shan & Jamie Yixing Tong, 2022. "Do auditors price litigious tone?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1715-1760, April.
    14. Jana P. Fidrmuc & Tereza Tykvova, 2023. "Are Acquirer Shareholders Happier when Their Industries Are Unhappy?," Swiss Finance Institute Research Paper Series 23-52, Swiss Finance Institute.
    15. Wagner, Alexander F. & Filipović, Zoran, 2019. "The Intangibles Song in Takeover Announcements: Good Tempo, Hollow Tune," CEPR Discussion Papers 13560, C.E.P.R. Discussion Papers.
    16. Necmettin Alpay Koçak, 2020. "The Role of Ecb Speeches in Nowcasting German Gdp," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2020(2), pages 05-20.
    17. Xi Fu & Xiaoxi Wu & Zhifang Zhang, 2021. "The Information Role of Earnings Conference Call Tone: Evidence from Stock Price Crash Risk," Journal of Business Ethics, Springer, vol. 173(3), pages 643-660, October.
    18. 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.
    19. Doshi, Hitesh & Patel, Saurin & Ramani, Srikanth & Sooy, Matthew, 2023. "Uncertain tone, asset volatility and credit default swap spreads," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(3).
    20. Stephen J. Smulowitz & Didier Cossin & Hongze Lu, 2023. "Managerial Short-Termism and Corporate Social Performance: The Moderating Role of External Monitoring," Journal of Business Ethics, Springer, vol. 188(4), pages 759-778, December.

    More about this item

    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:arx:papers:2410.01987. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.