IDEAS home Printed from https://ideas.repec.org/a/oup/jfinec/v1y2003i3p327-364.html
   My bibliography  Save this article

A Pricing and Hedging Comparison of Parametric and Nonparametric Approaches for American Index Options

Author

Listed:
  • Toby Daglish

Abstract

This article investigates the extent to which options on the Australian Stock Price Index can be explained by parametric and nonparametric option pricing techniques. In particular, comparisons are made of out-of-sample option pricing performance and hedging performance. The dataset differs from many of those used previously in the empirical options pricing literature in that it consists of American options. In addition, a broader spectrum of techniques are considered: a spline-based nonparametric technique is considered in addition to the standard kernel techniques, while the performance of a Heston stochastic volatility model is also considered. Although some evidence is found of superior performance by nonparametric techniques for in-sample pricing, the parametric methods exhibit a markedly better ability to explain future prices and show superior hedging performance. , .

Suggested Citation

  • Toby Daglish, 2003. "A Pricing and Hedging Comparison of Parametric and Nonparametric Approaches for American Index Options," Journal of Financial Econometrics, Oxford University Press, vol. 1(3), pages 327-364.
    • Handle: RePEc:oup:jfinec:v:1:y:2003:i:3:p:327-364
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gagliardini, Patrick & Ronchetti, Diego, 2013. "Semi-parametric estimation of American option prices," Journal of Econometrics, Elsevier, vol. 173(1), pages 57-82.
    2. Yatchew, Adonis & Hardle, Wolfgang, 2006. "Nonparametric state price density estimation using constrained least squares and the bootstrap," Journal of Econometrics, Elsevier, vol. 133(2), pages 579-599, August.
    3. Yuji Yamada, 2012. "Properties of Optimal Smooth Functions in Additive Models for Hedging Multivariate Derivatives," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 19(2), pages 149-179, May.
    4. René Garcia & Eric Ghysels & Eric Renault, 2004. "The Econometrics of Option Pricing," CIRANO Working Papers 2004s-04, CIRANO.
    5. Weiping Li & Su Chen, 2018. "The Early Exercise Premium In American Options By Using Nonparametric Regressions," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(07), pages 1-29, November.

    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:oup:jfinec:v:1:y:2003:i:3:p:327-364. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sofieea.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.