IDEAS home Printed from https://ideas.repec.org/a/bla/jecsur/v40y2026i2p861-883.html

Unraveling the Impact of News Analytics on Financial Decisions: A Structured Review

Author

Listed:
  • Priyanka Pal
  • M. Venkateswarlu
  • Satish Kumar

Abstract

The popularity of news analytics in finance and economics is attributed to real‐time data, sentiment analysis, and automated decision‐making. Although there is an increasing body of research on financial news analytics, a quantitative bibliometric and framework‐based assessment is absent. This hybrid systematic review analyses the intellectual landscape and development of news analytics in financial markets via bibliometric analysis (performance trends, co‐authorship analysis, and keyword co‐occurrence mapping) and the Theories‐Context‐Characteristics‐Methods (TCCM) framework. We recognize substantial academic achievements, pivotal concepts, prevailing research trajectories, and methodological innovations from a selection of peer‐reviewed journal articles spanning two decades. Key subject clusters include the impact of scheduled and unscheduled news on market volatility, the utilization of AI‐driven sentiment research in investment strategies, and the relationship between news sentiment and macroeconomic indicators. We further delineate theoretical underpinnings, empirical contexts, methodological tendencies, and unexamined research domains. Our study provides scholars and professionals with a comprehensive synthesis of financial news analytics, directing future inquiries and methodological progress in high‐frequency data analysis, machine learning integration, and market behavior modeling.

Suggested Citation

  • Priyanka Pal & M. Venkateswarlu & Satish Kumar, 2026. "Unraveling the Impact of News Analytics on Financial Decisions: A Structured Review," Journal of Economic Surveys, Wiley Blackwell, vol. 40(2), pages 861-883, April.
    • Handle: RePEc:bla:jecsur:v:40:y:2026:i:2:p:861-883
    DOI: 10.1111/joes.70026
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/joes.70026
    Download Restriction: no
    File URL: https://libkey.io/10.1111/joes.70026?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
    ---><---

    More about this item

    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:bla:jecsur:v:40:y:2026:i:2:p:861-883. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0950-0804 .

    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.