IDEAS home Printed from https://ideas.repec.org/a/oup/oxford/v37y2021i3p564-584..html
   My bibliography  Save this article

Artificial intelligence research in finance: discussion and examples

Author

Listed:
  • Manuela Veloso
  • Tucker Balch
  • Daniel Borrajo
  • Prashant Reddy
  • Sameena Shah

Abstract

Artificial intelligence (AI) is a science and engineering discipline that is highly relevant to financial services, given the significant amount and diversity of data generated (and consumed) as those services are delivered worldwide. Global banks process billions of international payments each day, while equity exchanges handle trillions of orders and billions of transactions. All of this activity is recorded as data, and driven by exogenous information sources such as news services and social media. To address these challenges, at J.P. Morgan, we established a new group dedicated to research at the intersection of AI and finance in mid-2018 to investigate how to develop and optimize the use of AI. In this article, we introduce and discuss the directions of focus of AI Research and present a few selective projects that illustrate potential novel applications to finance.

Suggested Citation

  • Manuela Veloso & Tucker Balch & Daniel Borrajo & Prashant Reddy & Sameena Shah, 2021. "Artificial intelligence research in finance: discussion and examples," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 564-584.
    • Handle: RePEc:oup:oxford:v:37:y:2021:i:3:p:564-584.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/oxrep/grab019
    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:oup:oxford:v:37:y:2021:i:3:p:564-584.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/oxrep .

    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.