IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipbs1544612323007468.html
   My bibliography  Save this article

Rescaling the double-mean-reverting 4/2 stochastic volatility model for derivative pricing

Author

Listed:
  • Cao, Jiling
  • Kim, Jeong-Hoon
  • Liu, Wenqiang
  • Zhang, Wenjun

Abstract

The popular 4/2 stochastic volatility model reveals important features of volatility but a closed-form formula for derivative prices is still lacking. This paper proposes a modified form of the 4/2 model into which two scale double-mean-reverting stochastic volatility is incorporated in order to remedy its shortcomings. We obtain a closed-form formula for the prices of European derivatives. The formula can be explicitly calculated by taking derivatives of the Black–Scholes prices and thus faster calibration of the 4/2 model becomes available. We also show that the rescaled 4/2 model is flexible enough to capture essential features (skew or smile) of market implied volatilities.

Suggested Citation

  • Cao, Jiling & Kim, Jeong-Hoon & Liu, Wenqiang & Zhang, Wenjun, 2023. "Rescaling the double-mean-reverting 4/2 stochastic volatility model for derivative pricing," Finance Research Letters, Elsevier, vol. 58(PB).
  • Handle: RePEc:eee:finlet:v:58:y:2023:i:pb:s1544612323007468
    DOI: 10.1016/j.frl.2023.104374
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323007468
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104374?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.

    More about this item

    Keywords

    4/2 stochastic volatility; Double-mean-reversion; Closed-form formula; Derivative; Implied volatility;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • 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:eee:finlet:v:58:y:2023:i:pb:s1544612323007468. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.