IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v93y2024ipbp103-120.html
   My bibliography  Save this article

Listening to the noise: On price efficiency with dynamic trading

Author

Listed:
  • Arnold, Lutz G.
  • Russ, David

Abstract

This paper shows that, in the canonical dynamic rational expectations equilibrium model, public information about future noise trading is potentially detrimental to contemporaneous price efficiency. Our result supports concerns that social sentiment investing, sparked by growing availability of big data and advances in the way of processing it, exacerbates, rather than ameliorates, the negative impact of noise trading on price efficiency.

Suggested Citation

  • Arnold, Lutz G. & Russ, David, 2024. "Listening to the noise: On price efficiency with dynamic trading," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 103-120.
  • Handle: RePEc:eee:reveco:v:93:y:2024:i:pb:p:103-120
    DOI: 10.1016/j.iref.2024.04.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056024002776
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2024.04.024?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

    Keywords

    Social sentiment investing; Price efficiency; Noise trading; Information aggregation;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:eee:reveco:v:93:y:2024:i:pb:p:103-120. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.