IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v56y2024i20p2375-2385.html
   My bibliography  Save this article

Profitability and herding of trade-based pump-and-dump manipulation

Author

Listed:
  • Eun Jung Lee
  • Yu Kyung Lee
  • Ryumi Kim

Abstract

We use the Korea Stock Exchange’s complete intraday order and trade data in a dataset that identifies individual accounts to examine whether trade-based pump-and-dump manipulators can trade profitably and whether other investors herd after the manipulation. The results show that other investors place more buy orders on stocks with higher manipulative buying volume and that more new investors buy such stocks. We also find that the trade-based pump-and-dump manipulation is profitable on average, both gross and net of transaction costs. Manipulators who have higher trading volume, more experience with manipulation, and less frequent transactions are likely to achieve larger profits. We also find that this type of manipulation is far more pervasive in the emerging market.

Suggested Citation

  • Eun Jung Lee & Yu Kyung Lee & Ryumi Kim, 2024. "Profitability and herding of trade-based pump-and-dump manipulation," Applied Economics, Taylor & Francis Journals, vol. 56(20), pages 2375-2385, April.
  • Handle: RePEc:taf:applec:v:56:y:2024:i:20:p:2375-2385
    DOI: 10.1080/00036846.2023.2182405
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2023.2182405
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2023.2182405?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:applec:v:56:y:2024:i:20:p:2375-2385. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.