IDEAS home Printed from https://ideas.repec.org/a/aza/jdb000/y2019v3i4p319-329.html
   My bibliography  Save this article

AI-powered surveillance for financial markets and transactions

Author

Listed:
  • Soviany, Cristina

    (Feature Analytics, Belgium)

Abstract

The paper presents an overview of financial markets surveillance solutions for the detection of various abusive behaviours. Technological advances support high-performance artificial intelligence (AI)-based solutions that help to avoid the drawbacks of legacy solutions. Many AI-based technologies are applied to detect sophisticated fraudulent actions on financial markets. A good approach is outlier or anomaly detection looking for observations that are inconsistent with remainder of the available data. Among the new technologies available are eyeDES, a cutting-edge AI-based technology and platform whose functional components provide market intelligence and unbiased detection of market abuse. It allows the detection of both previously known and completely new abusive behaviours in real time, effectively combining the use of advanced data analytics to enrich the original data space with new Features and anomaly detection to find inconsistent cases. Each case is provided with a score that measures how different that market participant’s activity is from the others, and a number of possible explanations for this. eyeDES is based on a solid and robust reasoning process, and it is an explainable AI technology, because it provides explanations of the rationale behind the decisions.

Suggested Citation

  • Soviany, Cristina, 2019. "AI-powered surveillance for financial markets and transactions," Journal of Digital Banking, Henry Stewart Publications, vol. 3(4), pages 319-329, March.
  • Handle: RePEc:aza:jdb000:y:2019:v:3:i:4:p:319-329
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/1487/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/1487/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

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

    More about this item

    Keywords

    Artificial Intelligence; surveillance solutions; market abuse detection; anomaly detection; explainable AI;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

    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:aza:jdb000:y:2019:v:3:i:4:p:319-329. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.