IDEAS home Printed from https://ideas.repec.org/a/spr/digfin/v7y2025i2d10.1007_s42521-025-00127-6.html
   My bibliography  Save this article

Quantum technology: a financial risk assessment

Author

Listed:
  • Phuong-Nam Nguyen

    (School of Technology, National Economics University)

Abstract

QT holds transformative potential across fields. QC, leveraging quantum phenomena such as superposition and entanglement, offers computational power far beyond classical systems. However, the financial risks associated with QT, including technological uncertainties, high costs, market volatility, and ethical concerns, remain underexplored. This article aims to fill this gap by analyzing these risks through: (1) a review of current advancements in QT, (2) a qualitative assessment of investment risks, and (3) a quantitative analysis of stock indices from companies in the field, using eight statistical methods. The article concludes with recommendations for managing financial risks, including a robust risk management framework and the use of AI for asset value prediction, aimed at guiding informed investment decisions and ensuring sustainable growth in this emerging sector.

Suggested Citation

  • Phuong-Nam Nguyen, 2025. "Quantum technology: a financial risk assessment," Digital Finance, Springer, vol. 7(2), pages 133-172, June.
  • Handle: RePEc:spr:digfin:v:7:y:2025:i:2:d:10.1007_s42521-025-00127-6
    DOI: 10.1007/s42521-025-00127-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42521-025-00127-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42521-025-00127-6?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

    Quantum technology; Financial risk management; Time-series analysis; Artificial intelligence;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

    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:spr:digfin:v:7:y:2025:i:2:d:10.1007_s42521-025-00127-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.