IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2302.03694.html
   My bibliography  Save this paper

Characterizing Financial Market Coverage using Artificial Intelligence

Author

Listed:
  • Jean Marie Tshimula
  • D'Jeff K. Nkashama
  • Patrick Owusu
  • Marc Frappier
  • Pierre-Martin Tardif
  • Froduald Kabanza
  • Armelle Brun
  • Jean-Marc Patenaude
  • Shengrui Wang
  • Belkacem Chikhaoui

Abstract

This paper scrutinizes a database of over 4900 YouTube videos to characterize financial market coverage. Financial market coverage generates a large number of videos. Therefore, watching these videos to derive actionable insights could be challenging and complex. In this paper, we leverage Whisper, a speech-to-text model from OpenAI, to generate a text corpus of market coverage videos from Bloomberg and Yahoo Finance. We employ natural language processing to extract insights regarding language use from the market coverage. Moreover, we examine the prominent presence of trending topics and their evolution over time, and the impacts that some individuals and organizations have on the financial market. Our characterization highlights the dynamics of the financial market coverage and provides valuable insights reflecting broad discussions regarding recent financial events and the world economy.

Suggested Citation

  • Jean Marie Tshimula & D'Jeff K. Nkashama & Patrick Owusu & Marc Frappier & Pierre-Martin Tardif & Froduald Kabanza & Armelle Brun & Jean-Marc Patenaude & Shengrui Wang & Belkacem Chikhaoui, 2023. "Characterizing Financial Market Coverage using Artificial Intelligence," Papers 2302.03694, arXiv.org.
    • Handle: RePEc:arx:papers:2302.03694
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2302.03694
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haroon, Omair & Rizvi, Syed Aun R., 2020. "COVID-19: Media coverage and financial markets behavior—A sectoral inquiry," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    2. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco C. Sammon, 2021. "What Triggers Stock Market Jumps?," NBER Working Papers 28687, National Bureau of Economic Research, Inc.
    3. Casey Dougal & Joseph Engelberg & Diego García & Christopher A. Parsons, 2012. "Journalists and the Stock Market," The Review of Financial Studies, Society for Financial Studies, vol. 25(3), pages 639-679.
    4. Bukovina, Jaroslav, 2016. "Social media big data and capital markets—An overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 11(C), pages 18-26.
    5. Lo, Gaye-Del & Marcelin, Isaac & Bassène, Théophile & Sène, Babacar, 2022. "The Russo-Ukrainian war and financial markets: the role of dependence on Russian commodities," Finance Research Letters, Elsevier, vol. 50(C).
    6. John Griffith & Mohammad Najand & Jiancheng Shen, 2020. "Emotions in the Stock Market," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(1), pages 42-56, January.
    7. Joseph E. Engelberg & Christopher A. Parsons, 2011. "The Causal Impact of Media in Financial Markets," Journal of Finance, American Finance Association, vol. 66(1), pages 67-97, February.
    8. Allan M. Malz, 2021. "The GameStop Episode: What Happened and What Does It Mean?," Journal of Applied Corporate Finance, Morgan Stanley, vol. 33(4), pages 87-97, December.
    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. Ying Wang & Hongwei Zhang & Wang Gao & Cai Yang, 2023. "Spillover effects from news to travel and leisure stocks during the COVID-19 pandemic: Evidence from the time and frequency domains," Tourism Economics, , vol. 29(2), pages 460-487, March.
    2. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Fabio & Spagnolo, Nicola, 2022. "Cross-border portfolio flows and news media coverage," Journal of International Money and Finance, Elsevier, vol. 126(C).
    3. Di Giuli, Alberta & Laux, Paul A., 2022. "The effect of media-linked directors on financing and external governance," Journal of Financial Economics, Elsevier, vol. 145(2), pages 103-131.
    4. Wu, Chunying & Xiong, Xiong & Gao, Ya, 2022. "The role of different information sources in information spread: Evidence from three media channels in China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 327-341.
    5. Baloria, Vishal P. & Heese, Jonas, 2018. "The effects of media slant on firm behavior," Journal of Financial Economics, Elsevier, vol. 129(1), pages 184-202.
    6. Tiffany Chiu & Victoria Chiu & Aiguo Wang & Tawei Wang & Yunsen Wang, 2024. "Respond or not? Analyst recommendation and companies' press releases after adverse events," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(4), pages 3469-3494, December.
    7. Mazboudi, Mohamad & Khalil, Samer, 2017. "The attenuation effect of social media: Evidence from acquisitions by large firms," Journal of Financial Stability, Elsevier, vol. 28(C), pages 115-124.
    8. Vegard Høghaug Larsen & Leif Anders Thorsrud, 2022. "Asset returns, news topics, and media effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 838-868, July.
    9. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    10. Saadon, Yossi & Schreiber, Ben Z., 2023. "Newspapers tone and the overnight-intraday stock return anomaly," Journal of Financial Markets, Elsevier, vol. 65(C).
    11. Akhtaruzzaman, Md & Boubaker, Sabri & Umar, Zaghum, 2022. "COVID–19 media coverage and ESG leader indices," Finance Research Letters, Elsevier, vol. 45(C).
    12. Henry Hyun-Do Kim & Kwangwoo Park, 2021. "Impact of Environmental Disaster Movies on Corporate Environmental and Financial Performance," Sustainability, MDPI, vol. 13(2), pages 1-35, January.
    13. David E. Allen & Michael McAleer & Abhay K. Singh, 2019. "Daily market news sentiment and stock prices," Applied Economics, Taylor & Francis Journals, vol. 51(30), pages 3212-3235, June.
    14. Feipeng Zhang & Yun Hong & Yanhui Jiang & Jiayi Yu, 2022. "Impact of national media reporting concerning COVID-19 on stock market in China: empirical evidence from a quantile regression," Applied Economics, Taylor & Francis Journals, vol. 54(33), pages 3861-3881, July.
    15. Meng Gao & Jiekun Huang & Itay Goldstein, 2020. "Informing the Market: The Effect of Modern Information Technologies on Information Production," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1367-1411.
    16. Call, Andrew C. & Emett, Scott A. & Maksymov, Eldar & Sharp, Nathan Y., 2022. "Meet the press: Survey evidence on financial journalists as information intermediaries," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    17. Nishimura, Yusaku & Sun, Bianxia, 2021. "President’s Tweets, US-China economic conflict and stock market Volatility: Evidence from China and G5 countries," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    18. Ryuichiro Izumi & Antonis Kotidis & Paul E. Soto, 2024. "Trademarks in Banking," Wesleyan Economics Working Papers 2024-004, Wesleyan University, Department of Economics.
    19. Fedyk, Anastassia & Hodson, James, 2023. "When can the market identify old news?," Journal of Financial Economics, Elsevier, vol. 149(1), pages 92-113.
    20. Chouliaras, Andreas, 2016. "The Effect of Infomation on Financial Markets: A Survey," MPRA Paper 71396, University Library of Munich, Germany.

    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:2302.03694. 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.