IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2305.13791.html
   My bibliography  Save this paper

The Quadratic Local Variance Gamma Model: an arbitrage-free interpolation of class $\mathcal{C}^3$ for option prices

Author

Listed:
  • Fabien Le Floc'h

Abstract

This paper generalizes the local variance gamma model of Carr and Nadtochiy, to a piecewise quadratic local variance function. The formulation encompasses the piecewise linear Bachelier and piecewise linear Black local variance gamma models. The quadratic local variance function results in an arbitrage-free interpolation of class $\mathcal{C}^3$. The increased smoothness over the piecewise-constant and piecewise-linear representation allows to reduce the number of knots when interpolating raw market quotes, thus providing an interesting alternative to regularization while reducing the computational cost.

Suggested Citation

  • Fabien Le Floc'h, 2023. "The Quadratic Local Variance Gamma Model: an arbitrage-free interpolation of class $\mathcal{C}^3$ for option prices," Papers 2305.13791, arXiv.org.
  • Handle: RePEc:arx:papers:2305.13791
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2305.13791
    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:2305.13791. 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.