IDEAS home Printed from https://ideas.repec.org/a/wsi/ijtafx/v26y2023i02n03ns0219024923500073.html
   My bibliography  Save this article

Markovian Stochastic Volatility With Stochastic Correlation €” Joint Calibration And Consistency Of Spx/Vix Short-Maturity Smiles

Author

Listed:
  • MARTIN FORDE

    (Department of Mathematics, King’s College London, Strand, London, WC2R 2LS, UK)

  • BENJAMIN SMITH

    (Department of Mathematics, King’s College London, Strand, London, WC2R 2LS, UK)

Abstract

In this paper, we show how to calibrate a general Markovian stochastic volatility model with stochastic correlation to the VIX implied volatility smile and the overall level, slope and curvature of the SPX smile in the T→0 limit. Explicit formulae are obtained for the asymptotic VIX smile for Heston and SABR-type models with mean reversion, and the Lewis CEV-p-model. We also discuss how the Bass martingale can be used to give an exact fit to a single VIX smile for T>0. In the second half of this paper, we derive a more involved integral equation for the correlation function Ï (y) to be perfectly consistent with the short-maturity SPX and VIX smiles at all strikes (or all strikes in an interval) as T→0, and discuss consistency conditions between the wings of the two asymptotic smiles and how to avoid |Ï (y)|>1 for the calibrated Ï (y) in practice.

Suggested Citation

  • Martin Forde & Benjamin Smith, 2023. "Markovian Stochastic Volatility With Stochastic Correlation €” Joint Calibration And Consistency Of Spx/Vix Short-Maturity Smiles," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 26(02n03), pages 1-42, May.
  • Handle: RePEc:wsi:ijtafx:v:26:y:2023:i:02n03:n:s0219024923500073
    DOI: 10.1142/S0219024923500073
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219024923500073
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219024923500073?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. Dan Pirjol & Xiaoyu Wang & Lingjiong Zhu, 2024. "Short-maturity asymptotics for VIX and European options in local-stochastic volatility models," Papers 2407.16813, arXiv.org.

    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:wsi:ijtafx:v:26:y:2023:i:02n03:n:s0219024923500073. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijtaf/ijtaf.shtml .

    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.