IDEAS home Printed from https://ideas.repec.org/a/boh/actaub/v24y2021i3p57-76.html
   My bibliography  Save this article

A Bibliometric Mapping of Utilization of Google Trends for Examining Stock Market Dynamics

Author

Listed:
  • Divya Jain

    (Manav Rachna International Institute of Research and Studies, Faridabad)

  • Meghna Chhabra

    (Manav Rachna International Institute of Research and Studies, Faridabad)

Abstract

In the last two decades, research into the use of the internet to evaluate investor interest in stock markets has exploded, fueled by a surge in interest and publishing by academic experts. The current research examines the academic literature on the role of internet web search-based inquiries in investors' investing decisions. The study emphasizes the present state-of-the-art and reveals significant gaps in the available literature on investor attention using bibliometric approaches. The study obtained research publications from the Scopus database using keyword and reference searching methods. Specifically, the study focuses on citation analysis, keyword analysis, co-authorship and bibliographic coupling to comprehensively reveal and analyze the publication contribution of the utility of google trends in the stock market activity. The work reveals prolific authors, most contributing documents, most productive countries, predominant domains and utility of google trends the for purpose of forecasting and predicting.

Suggested Citation

  • Divya Jain & Meghna Chhabra, 2021. "A Bibliometric Mapping of Utilization of Google Trends for Examining Stock Market Dynamics," Acta Universitatis Bohemiae Meridionales, University of South Bohemia in Ceske Budejovice, vol. 24(3), pages 57-76.
  • Handle: RePEc:boh:actaub:v:24:y:2021:i:3:p:57-76
    DOI: 10.32725/acta.2021.012
    as

    Download full text from publisher

    File URL: https://doi.org/10.32725/acta.2021.012
    Download Restriction: no

    File URL: https://libkey.io/10.32725/acta.2021.012?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

    Keywords

    Bibliometric; Google Trends; Investor Attention; Stock Market Returns; VOS Viewer;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment

    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:boh:actaub:v:24:y:2021:i:3:p:57-76. 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: Tereza Šťástková (email available below). General contact details of provider: https://edirc.repec.org/data/efjcucz.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.