IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v22y2022i4p611-629.html
   My bibliography  Save this article

Stationary Heston model: calibration and pricing of exotics using product recursive quantization

Author

Listed:
  • Vincent Lemaire
  • Thibaut Montes
  • Gilles Pagès

Abstract

Product Recursive Quantization is used to price exotic options in the Stationary Heston model, a model that generates more realistic volatility surfaces than the original Heston model

Suggested Citation

  • Vincent Lemaire & Thibaut Montes & Gilles Pagès, 2022. "Stationary Heston model: calibration and pricing of exotics using product recursive quantization," Quantitative Finance, Taylor & Francis Journals, vol. 22(4), pages 611-629, April.
  • Handle: RePEc:taf:quantf:v:22:y:2022:i:4:p:611-629
    DOI: 10.1080/14697688.2021.2023205
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14697688.2021.2023205
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14697688.2021.2023205?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Bayer & Denis Belomestny & Oleg Butkovsky & John Schoenmakers, 2024. "A reproducing kernel Hilbert space approach to singular local stochastic volatility McKean–Vlasov models," Finance and Stochastics, Springer, vol. 28(4), pages 1147-1178, October.
    2. Lech A. Grzelak, 2022. "On Randomization of Affine Diffusion Processes with Application to Pricing of Options on VIX and S&P 500," Papers 2208.12518, arXiv.org.

    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:taf:quantf:v:22:y:2022:i:4:p:611-629. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    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.