IDEAS home Printed from https://ideas.repec.org/p/chf/rpseri/rp1368.html
   My bibliography  Save this paper

Smooth and Bid-Offer Compliant Volatility Surfaces Under General Dividend Streams

Author

Listed:
  • Olivier Bachem

    (ETH Zürich)

  • Gabriel G. Drimus

    (University of Zürich)

  • Walter Farkas

    (University of Zurich, Ecole Polytechnique Fédérale de Lausanne, Swiss Finance Institute, and ETH Zürich)

Abstract

Given bid-offer quotes for a set of listed vanilla options, a fundamental need of option market makers is to interpolate and extrapolate the available quotes to a full arbitrage-free surface. We propose a methodology which directly controls the trade-off between smoothness and bid-offer compliance of the resulting volatility surface. Unlike previous literature, the method applies simultaneously to all listed maturities and aims to smooth the implied risk neutral densities. Additionally, we consider asset dynamics which allow for general dividend streams - continuous, discrete yield and discrete cash - a modeling aspect of key importance in option markets.

Suggested Citation

  • Olivier Bachem & Gabriel G. Drimus & Walter Farkas, 2013. "Smooth and Bid-Offer Compliant Volatility Surfaces Under General Dividend Streams," Swiss Finance Institute Research Paper Series 13-68, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp1368
    as

    Download full text from publisher

    File URL: http://ssrn.com/abstract=2172256
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    implied volatility surface; risk neutral density; discrete dividends;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

    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:chf:rpseri:rp1368. 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: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.html .

    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.