IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1110.4669.html
   My bibliography  Save this paper

Bridge Copula Model for Option Pricing

Author

Listed:
  • Giuseppe Campolieti
  • Roman N. Makarov
  • Andrey Vasiliev

Abstract

In this paper we present a new multi-asset pricing model, which is built upon newly developed families of solvable multi-parameter single-asset diffusions with a nonlinear smile-shaped volatility and an affine drift. Our multi-asset pricing model arises by employing copula methods. In particular, all discounted single-asset price processes are modeled as martingale diffusions under a risk-neutral measure. The price processes are so-called UOU diffusions and they are each generated by combining a variable (Ito) transformation with a measure change performed on an underlying Ornstein-Uhlenbeck (Gaussian) process. Consequently, we exploit the use of a normal bridge copula for coupling the single-asset dynamics while reducing the distribution of the multi-asset price process to a multivariate normal distribution. Such an approach allows us to simulate multidimensional price paths in a precise and fast manner and hence to price path-dependent financial derivatives such as Asian-style and Bermudan options using the Monte Carlo method. We also demonstrate how to successfully calibrate our multi-asset pricing model by fitting respective equity option and asset market prices to the single-asset models and their return correlations (i.e. the copula function) using the least-square and maximum-likelihood estimation methods.

Suggested Citation

  • Giuseppe Campolieti & Roman N. Makarov & Andrey Vasiliev, 2011. "Bridge Copula Model for Option Pricing," Papers 1110.4669, arXiv.org.
  • Handle: RePEc:arx:papers:1110.4669
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1110.4669
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giuseppe Campolieti & Roman Makarov, 2008. "Path integral pricing of Asian options on state-dependent volatility models," Quantitative Finance, Taylor & Francis Journals, vol. 8(2), pages 147-161.
    2. Giuseppe Campolieti & Roman Makarov, 2007. "Pricing Path-Dependent Options On State Dependent Volatility Models With A Bessel Bridge," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 51-88.
    3. Albanese, Claudio & Campolieti, Giuseppe, 2005. "Advanced Derivatives Pricing and Risk Management," Elsevier Monographs, Elsevier, edition 1, number 9780120476824.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Makarov Roman N. & Glew Devin, 2010. "Exact simulation of Bessel diffusions," Monte Carlo Methods and Applications, De Gruyter, vol. 16(3-4), pages 283-306, January.
    2. Giuseppe Campolieti & Roman Makarov, 2008. "Path integral pricing of Asian options on state-dependent volatility models," Quantitative Finance, Taylor & Francis Journals, vol. 8(2), pages 147-161.
    3. Giuseppe Campolieti & Roman N. Makarov & Karl Wouterloot, 2013. "Pricing Step Options under the CEV and other Solvable Diffusion Models," Papers 1302.3771, arXiv.org.
    4. Giuseppe Campolieti & Roman Makarov, 2007. "Pricing Path-Dependent Options On State Dependent Volatility Models With A Bessel Bridge," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 51-88.
    5. Lee, Dongyeol & Kim, Woo Chang, 2021. "Cost of shareholder engagement by institutional investors under short-swing profit rule," Finance Research Letters, Elsevier, vol. 40(C).
    6. Aprahamian, Hrayer & Maddah, Bacel, 2015. "Pricing Asian options via compound gamma and orthogonal polynomials," Applied Mathematics and Computation, Elsevier, vol. 264(C), pages 21-43.
    7. Ian Iscoe & Asif Lakhany, 2011. "Adaptive Simulation of the Heston Model," Papers 1111.6067, arXiv.org.
    8. Chung-Han Hsieh, 2020. "Generalization of Affine Feedback Stock Trading Results to Include Stop-Loss Orders," Papers 2004.12848, arXiv.org.

    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:arx:papers:1110.4669. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.