IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v13y2025i3p135-d1708082.html
   My bibliography  Save this article

Mapping the Literature on Short-Selling in Financial Markets: A Lexicometric Analysis

Author

Listed:
  • Nitika Sharma

    (Chitkara Business School, Chitkara University, Rajpura 140401, India)

  • Sridhar Manohar

    (Chitkara Business School, Chitkara University, Rajpura 140401, India)

  • Bruce A. Huhmann

    (Department of Marketing, Virginia Commonwealth University, Richmond, VA 23284, USA)

  • Yam B. Limbu

    (Department of Marketing, Montclair State University, Montclair, NJ 07043, USA)

Abstract

This study provides a comprehensive assessment and synthesis of the literature on short-selling. It performs a lexicometric analysis, providing a quantitative review of 1093 peer-reviewed journal articles to identify and illustrate the main themes in short-selling research. Almost half the published literature on short-selling is thematically clustered around portfolio management techniques. Other key themes involve short-selling as it relates to risk management, strategic management, and market irregularities. Descending hierarchical classification examines the overall structure of the textual corpus of the short-selling literature and the relationships between its key terms. Similarity analysis reveals that the short-selling literature is highly concentrated, with most conceptual groups closely aligned and fitting into overlapping or conceptually similar areas. Some notable groups highlight prior short-selling studies of market dynamics, behavioral factors, technological advancements, and regulatory frameworks, which can serve as a foundation for market regulators to make more informed decisions that enhance overall market stability. Additionally, this study proposes a conceptual framework in which short-selling can be either a driver or an outcome by integrating the literature on its antecedents, consequences, explanatory variables, and boundary conditions. Finally, it suggests directions for future research.

Suggested Citation

  • Nitika Sharma & Sridhar Manohar & Bruce A. Huhmann & Yam B. Limbu, 2025. "Mapping the Literature on Short-Selling in Financial Markets: A Lexicometric Analysis," IJFS, MDPI, vol. 13(3), pages 1-19, July.
  • Handle: RePEc:gam:jijfss:v:13:y:2025:i:3:p:135-:d:1708082
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/13/3/135/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7072/13/3/135/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jijfss:v:13:y:2025:i:3:p:135-:d:1708082. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.