Skip to main content

Part of the book series: Bocconi & Springer Series ((BS,volume 5))

Abstract

It is the aim of Chap. 13 to introduce computational tools, which can be used to implement the functionals presented in this book. The first part of the chapter focuses on the non-central chi-squared distribution, which had arisen in the context of pricing financial derivatives in the Minimal Market Model introduced in Chap. 3. We provide both theoretical results and also a stable algorithm which can be used to compute the distribution function. In the second part of the chapter we focus on the non-central beta distribution, which had arisen in the context of pricing exchange options in the Minimal Market Model. Again, we provide both theoretical results but also a stable algorithm which can be used to compute the distribution function. The chapter concludes by discussing the inversion of Laplace transforms, which can be used to recover transition densities from the Laplace transforms presented throughout this book. We illustrate this approach in the context of the Minimal Market Model presented in Chap. 3.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
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

  • Abate, J., Whitt, W.: Numerical inversion of Laplace transforms of probability distributions. ORSA J. Comput. 7(1), 36–43 (1995)

    Article  MATH  Google Scholar 

  • Abramowitz, M., Stegun, I.A. (eds.): Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Dover, New York (1972)

    MATH  Google Scholar 

  • Chattamvelli, R.: A note on the noncentral beta distribution function. Am. Stat. 49(2), 231–234 (1995)

    Google Scholar 

  • Craddock, M., Heath, D., Platen, E.: Numerical inversion of Laplace transforms: a survey with applications to derivative pricing. J. Comput. Finance 4(1), 57–81 (2000)

    Google Scholar 

  • Ding, C.G.: Algorithm AS 275: computing the non-central χ 2 distribution function. Appl. Stat. 41(2), 478–482 (1992)

    Article  Google Scholar 

  • Dyrting, S.: Evaluating the noncentral chi-square distribution for the Cox-Ingersoll-Ross process. Comput. Econ. 24(1), 35–50 (2004)

    Article  MATH  Google Scholar 

  • Hulley, H.: Strict local martingales in continuous financial market models. PhD thesis, UTS, Sydney (2009)

    Google Scholar 

  • Hulley, H., Platen, E.: Laplace transform identities for diffusions, with applications to rebates and barrier options. In: Stettner, L. (ed.) Advances in Mathematical Finance. Banach Center Publications, vol. 83, pp. 139–157 (2008)

    Chapter  Google Scholar 

  • Johnson, N.L., Kotz, S., Balakrishnan, N.: Continuous Univariate Distributions, 2nd edn. Wiley Series in Probability and Mathematical Statistics, vol. 1. Wiley, New York (1994)

    MATH  Google Scholar 

  • Johnson, N.L., Kotz, S., Balakrishnan, N.: Continuous Univariate Distributions, 2nd edn. Wiley Series in Probability and Mathematical Statistics, vol. 2. Wiley, New York (1995)

    MATH  Google Scholar 

  • Kuo, F.Y., Dunsmuir, W.T.M., Sloan, I.H., Wand, M.P., Womersley, R.: Quasi-Monte Carlo for highly structured generalised response models. Methodol. Comput. Appl. Probab. 10(2), 239–275 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  • Patnaik, P.B.: The non-central χ 2- and F-distributions and their applications. Biometrika 36(1/2), 202–232 (1949)

    Article  MathSciNet  MATH  Google Scholar 

  • Posten, H.O.: An effective algorithm for the noncentral chi-squared distribution function. Am. Stat. 43(4), 261–263 (1989)

    Google Scholar 

  • Posten, H.O.: An effective algorithm for the noncentral beta distribution function. Am. Stat. 47(2), 129–131 (1993)

    Google Scholar 

  • Sankaran, M.: Approximations to the non-central chi-square distribution. Biometrika 50(1/2), 199–204 (1963)

    Article  MathSciNet  MATH  Google Scholar 

  • Schroder, M.: Computing the constant elasticity of variance option pricing formula. J. Finance 44(1), 211–219 (1989)

    Article  Google Scholar 

  • Seber, G.A.F.: The non-central chi-squared and beta distributions. Biometrika 50(3/4), 542–544 (1963)

    Article  MathSciNet  MATH  Google Scholar 

  • Siegel, A.F.: The noncentral chi-squared distribution with zero degrees of freedom and testing for uniformity. Biometrika 66(2), 381–386 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  • Tang, P.C.: The power function of the analysis of variance tests with tables and illustrations of their use. Stat. Res. Mem. 2, 126–150 (1938)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Baldeaux, J., Platen, E. (2013). Computational Tools. In: Functionals of Multidimensional Diffusions with Applications to Finance. Bocconi & Springer Series, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-00747-2_13

Download citation

Publish with us

Policies and ethics