IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v19y2019i7p1199-1219.html
   My bibliography  Save this article

A systematic and efficient simulation scheme for the Greeks of financial derivatives

Author

Listed:
  • Yuh-Dauh Lyuu
  • Huei-Wen Teng
  • Yao-Te Tseng
  • Sheng-Xiang Wang

Abstract

Greeks are the price sensitivities of financial derivatives and are essential for pricing, speculation, risk management, and model calibration. Although the pathwise method has been popular for calculating them, its applicability is problematic when the integrand is discontinuous. To tackle this problem, this paper defines and derives the parameter derivative of a discontinuous integrand of certain functional forms with respect to the parameter of interest. The parameter derivative is such that its integration equals the differentiation of the integration of the aforesaid discontinuous integrand with respect to that parameter. As a result, unbiased Greek formulas for a very broad class of payoff functions and models can be systematically derived. This new method is applied to the Greeks of (1) Asian options under two popular Lévy processes, i.e. Merton's jump-diffusion model and the variance-gamma process, and (2) collateralized debt obligations under the Gaussian copula model. Our Greeks outperform the finite-difference and likelihood ratio methods in terms of accuracy, variance, and computation time.

Suggested Citation

  • Yuh-Dauh Lyuu & Huei-Wen Teng & Yao-Te Tseng & Sheng-Xiang Wang, 2019. "A systematic and efficient simulation scheme for the Greeks of financial derivatives," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1199-1219, July.
  • Handle: RePEc:taf:quantf:v:19:y:2019:i:7:p:1199-1219
    DOI: 10.1080/14697688.2018.1562196
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14697688.2018.1562196
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14697688.2018.1562196?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

    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:19:y:2019:i:7:p:1199-1219. 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.