IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2506.23409.html
   My bibliography  Save this paper

Pricing and Calibration of VIX Derivatives in Mixed Bergomi Models via Quantisation

Author

Listed:
  • Nelson Kyakutwika
  • Mesias Alfeus
  • Erik Schlogl

Abstract

We apply vector quantisation within mixed one- and two-factor Bergomi models to implement a fast and efficient approach for option pricing in these models. This allows us to calibrate such models to market data of VIX futures and options. Our numerical tests confirm the efficacy of vector quantisation, making calibration feasible over daily data covering several months. This permits us to evaluate the calibration accuracy and the stability of the calibrated parameters, and we provide a comprehensive assessment of the two models. Both models show excellent performance in fitting VIX derivatives, and their parameters show satisfactory stability over time.

Suggested Citation

  • Nelson Kyakutwika & Mesias Alfeus & Erik Schlogl, 2025. "Pricing and Calibration of VIX Derivatives in Mixed Bergomi Models via Quantisation," Papers 2506.23409, arXiv.org.
  • Handle: RePEc:arx:papers:2506.23409
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2506.23409
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    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:arx:papers:2506.23409. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.