Skip to main content

Advanced Monte Carlo Pricing of European Options in a Market Model with Two Stochastic Volatilities

  • Conference paper
  • First Online:
Book cover Algebraic Structures and Applications (SPAS 2017)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 317))

  • 542 Accesses

Abstract

We consider a market model with four correlated factors and two stochastic volatilities, one of which is rapid-changing, while another one is slow-changing in time. An advanced Monte Carlo method based on the theory of cubature in Wiener space is used to find the no-arbitrage price of the European call option in the above model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Canhanga, B., Malyarenko, A., Murara, J.P., Ni, Y., Silvestrov, S.: Numerical studies on asymptotics of European option under multiscale stochastic volatility. Methodol. Comput. Appl. Probab. 19(4), 1075–1087 (2017)

    Article  MathSciNet  Google Scholar 

  2. Canhanga, B., Malyarenko, A., Murara, J.P., Silvestrov, S.: Pricing European options under stochastic volatilities models. In: Silvestrov, S., Rančić, M. (eds.), Engineering Mathematics. I. Springer Proceedings in Mathematics & Statistics, vol. 178, 315–338. Springer, Cham (2016)

    Google Scholar 

  3. Canhanga, B., Malyarenko, A., Ni, Y., Rančić, M., Silvestrov, S.: Analytical and numerical studies on the second-order asymptotic expansion method for European option pricing under two-factor stochastic volatilities. Comm. Statist. Theory Methods 47(6), 1328–1349 (2018)

    Article  MathSciNet  Google Scholar 

  4. Canhanga, B., Malyarenko, A., Ni, Y., Rančić, M., Silvestrov, S.: Calibration of multiscale two-factor stochastic volatility models: A second-order asymptotic expansion approach. In: Skiadas, C.H. (ed.) Proceedings SMTDA2018, 409–422. International Society for the Advancement of Science and Technology, ISAST (2018)

    Google Scholar 

  5. Canhanga, B., Malyarenko, A., Ni, Y., Silvestrov, S.: Perturbation methods for pricing European options in a model with two stochastic volatilities. In: Manca, R., McClean, S., Skiadas, C.H. (eds.) New Trends in Stochastic Modeling and Data Analysis, 199–210. International Society for the Advancement of Science and Technology, ISAST (2015)

    Google Scholar 

  6. Canhanga, B., Malyarenko, A., Ni, Y., Silvestrov, S.: Second order asymptotic expansion for pricing European options in a model with two stochastic volatilities. In: Skiadas, C.H. (ed.) ASMDA 2015 Proceedings, 37–52. International Society for the Advancement of Science and Technology, ISAST (2015)

    Google Scholar 

  7. Canhanga, B., Ni, Y., Rančić, M., Malyarenko, A., Silvestrov, S.: Numerical methods on European option second order asymptotic expansions for multiscale stochastic volatility. In: International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, American Institute of Physics Conference Series, vol. 1798, 1–10 (2017)

    Google Scholar 

  8. Chen, K.T.: Integration of paths, geometric invariants and a generalized Baker-Hausdorff formula. Ann. of Math. 2(65), 163–178 (1957)

    Article  MathSciNet  Google Scholar 

  9. Chiarella, C., Ziveyi, J.: Pricing American options written on two underlying assets. Quant. Finance 14(3), 409–426 (2014)

    Article  MathSciNet  Google Scholar 

  10. Glasserman, P.: Monte Carlo Methods in Financial Engineering. Applications of Mathematics (New York), vol. 53. Springer, New York (2004)

    MATH  Google Scholar 

  11. Gyurkó, L.G., Lyons, T.J.: Efficient and practical implementations of cubature on Wiener space. Stochastic Analysis 2010, 73–111. Springer, Heidelberg (2011)

    Google Scholar 

  12. Kloeden, P.E., Platen, E.: Numerical Solution of Stochastic Differential Equations. Applications of Mathematics (New York), vol. 23. Springer, Berlin (1992)

    Book  Google Scholar 

  13. Kusuoka, S.: Approximation of expectation of diffusion process and mathematical finance. In: Maruyama M., Sunada, T. (eds.), Taniguchi Conference on Mathematics, Nara 1998. Advanced Studies in Pure Mathematics 31, Mathematical Society of Japan, Tokyo, 147–165 (2001)

    Google Scholar 

  14. Lyons, T., Victoir, N.: Cubature on Wiener space. Proc. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci. 460(2041), 169–198 (2004)

    Google Scholar 

  15. Ni, Y., Canhanga, B., Malyarenko, A., Silvestrov, S.: Approximation methods of European option pricing in multiscale stochastic volatility model. In: International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. American Institute of Physics Conference Series, vol. 1798 (2017)

    Google Scholar 

  16. Ninomiya, S., Victoir, N.: Weak approximation of stochastic differential equations and application to derivative pricing. Appl. Math. Finance 15(1–2), 107–121 (2008)

    Article  MathSciNet  Google Scholar 

  17. Reutenauer, C.: Free Lie algebras. London Mathematical Society Monographs. New Series, vol. 7. The Clarendon Press, Oxford University Press, New York (1993)

    Google Scholar 

  18. Silvestrov, D.S.: American-Type Options—Stochastic Approximation Methods. Vol. 1. De Gruyter Studies in Mathematics, vol. 56. De Gruyter, Berlin (2014)

    Google Scholar 

  19. Silvestrov, D.S.: American-Type Options—Stochastic Approximation Methods. Vol. 2. De Gruyter Studies in Mathematics, vol. 57. De Gruyter, Berlin (2015)

    Google Scholar 

  20. Tanaka, H.: Cubature formula on Wiener space from the viewpoint of splitting methods. RIMS Kôkuûroku 1844, 50–59 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jean-Paul Murara .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Canhanga, B., Malyarenko, A., Murara, JP., Ni, Y., Silvestrov, S. (2020). Advanced Monte Carlo Pricing of European Options in a Market Model with Two Stochastic Volatilities. In: Silvestrov, S., Malyarenko, A., Rančić, M. (eds) Algebraic Structures and Applications. SPAS 2017. Springer Proceedings in Mathematics & Statistics, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-030-41850-2_36

Download citation

Publish with us

Policies and ethics