IDEAS home Printed from https://ideas.repec.org/a/ids/ijient/v10y2023i1p48-72.html
   My bibliography  Save this article

Feature selection for stock price prediction: a critical review

Author

Listed:
  • Binita Kumari
  • Srikanta Patnaik
  • Tripti Swarnkar

Abstract

Stock price prediction has drawn huge attention due to its impact on economic stability. Accurate stock price prediction is highly essential to reduce the risk associated with it so as to decide good investment strategies. There are various factors influencing the prediction of stock indices namely gross margin, exchange rate, inflation rate, relative index and so on. Feature selection plays a vital role in effective and accurate prediction of stock indices. This paper aims to provide a clear review of widely used features affecting the stock price fluctuations, feature selection techniques and prediction models from the recent literature. The study also highlights the future directions in this domain focusing the enhancement of the prediction performance.

Suggested Citation

  • Binita Kumari & Srikanta Patnaik & Tripti Swarnkar, 2023. "Feature selection for stock price prediction: a critical review," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 10(1), pages 48-72.
    • Handle: RePEc:ids:ijient:v:10:y:2023:i:1:p:48-72
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=127236
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijient:v:10:y:2023:i:1:p:48-72. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=167 .

    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.