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Pricing and hedging American options by Monte Carlo methods using a Malliavin calculus approach

Author

Listed:
  • Bally Vlad

    (Laboratoire d'Analyse et de Mathématiques Appliquèes, Université de Marne-la-Vallèe, 77454 Champs-sur-Marne, France; mailto: . bally@univ-mlv.fr)

  • Caramellino Lucia

    (Dipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca Scientifica, I-00133 Roma, Italy; mailto: . caramell@mat.uniroma2.it)

  • Zanette Antonino

    (Dipartimento di Finanza dell'Impresa e dei Mercati Finanziari, Università di Udine, Via Tomadini 30/A, I-33100 Udine, Italy; mailto: . antonino.zanette@dfimf.uniud.it)

Abstract
Following the pioneering papers of Fournié, Lasry, Lebouchoux, Lions and Touzi, an important work concerning the applications of the Malliavin calculus in numerical methods for mathematical finance has come after. One is concerned with two problems: computation of a large number of conditional expectations on one hand and computation of Greeks (sensitivities) on the other hand. A significant test of the power of this approach is given by its application to pricing and hedging American options. The paper gives a global and simplified presentation of this topic including the reduction of variance techniques based on localization and control variables. A special interest is given to practical implementation, number of numerical tests are presented and their performances are carefully discussed.

Suggested Citation

  • Bally Vlad & Caramellino Lucia & Zanette Antonino, 2005. "Pricing and hedging American options by Monte Carlo methods using a Malliavin calculus approach," Monte Carlo Methods and Applications, De Gruyter, vol. 11(2), pages 97-133, June.
    • Handle: RePEc:bpj:mcmeap:v:11:y:2005:i:2:p:97-133:n:1
    DOI: 10.1515/156939605777585944
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    References listed on IDEAS

    as
    1. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-147.
    2. repec:dau:papers:123456789/1802 is not listed on IDEAS
    3. Eric Fournié & Jean-Michel Lasry & Pierre-Louis Lions & Jérôme Lebuchoux, 2001. "Applications of Malliavin calculus to Monte-Carlo methods in finance. II," Finance and Stochastics, Springer, vol. 5(2), pages 201-236.
    4. Bouchard, Bruno & Touzi, Nizar, 2004. "Discrete-time approximation and Monte-Carlo simulation of backward stochastic differential equations," Stochastic Processes and their Applications, Elsevier, vol. 111(2), pages 175-206, June.
    5. Broadie, Mark & Detemple, Jerome, 1996. "American Option Valuation: New Bounds, Approximations, and a Comparison of Existing Methods," The Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1211-1250.
    6. V. Bally & G. Pagès & J. Printems, 2003. "First‐Order Schemes in the Numerical Quantization Method," Mathematical Finance, Wiley Blackwell, vol. 13(1), pages 1-16, January.
    7. Barraquand, Jérôme & Martineau, Didier, 1995. "Numerical Valuation of High Dimensional Multivariate American Securities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(3), pages 383-405, September.
    8. Bruno Bouchard & Ivar Ekeland & Nizar Touzi, 2004. "On the Malliavin approach to Monte Carlo approximation of conditional expectations," Finance and Stochastics, Springer, vol. 8(1), pages 45-71, January.
    9. Jèôme Barraquand, 1995. "Numerical Valuation of High Dimensional Multivariate European Securities," Management Science, INFORMS, vol. 41(12), pages 1882-1891, December.
    10. Broadie, Mark & Glasserman, Paul, 1997. "Pricing American-style securities using simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1323-1352, June.
    11. Eric Fournié & Jean-Michel Lasry & Pierre-Louis Lions & Jérôme Lebuchoux & Nizar Touzi, 1999. "Applications of Malliavin calculus to Monte Carlo methods in finance," Finance and Stochastics, Springer, vol. 3(4), pages 391-412.
    12. Stephane Villeneuve & Antonino Zanette, 2002. "Parabolic ADI Methods for Pricing American Options on Two Stocks," Mathematics of Operations Research, INFORMS, vol. 27(1), pages 121-149, February.
    13. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
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    Cited by:

    1. Suda, Shintaro & Muroi, Yoshifumi, 2015. "Computation of Greeks using binomial trees in a jump-diffusion model," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 93-110.
    2. Fujiwara, Hajime & Kijima, Masaaki, 2007. "Pricing of path-dependent American options by Monte Carlo simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 31(11), pages 3478-3502, November.
    3. Andr�s Garc�a Mirantes & Javier Población & Gregorio Serna, 2012. "Analyzing the dynamics of the refining margin: implications for valuation and hedging," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1839-1855, December.
    4. Crisan, D. & Manolarakis, K. & Touzi, N., 2010. "On the Monte Carlo simulation of BSDEs: An improvement on the Malliavin weights," Stochastic Processes and their Applications, Elsevier, vol. 120(7), pages 1133-1158, July.

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