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Wavelet Based PDE Valuation of Derivatives

  • Conference paper
European Congress of Mathematics

Part of the book series: Progress in Mathematics ((PM,volume 202))

Abstract

We investigate the application of a wavelet method of lines solution to financial PDEs and demonstrate the suitability of a numerical scheme based on biorthogonal interpolating wavelets to problems where there are discontinuities or regions of sharp transitions in the solution. The examples treated are the Black¡ªScholes PDE with discontinuous payoffs and a 3-dimensional cross currency swap PDE for which a speedup over standard finite difference methods of two orders of magnitude is reported. We expect that a thresholded version of the algorithm currently being developed will improve speedup by at least a further order of magnitude.

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References

  1. G. Beylkin (1993). Wavelets and fast numerical algorithms. Lecture Notes for Short Course, AMS 93.

    Google Scholar 

  2. G. Beylkin, R. Coifman and V. Rokhlin (1991). Fast wavelet transforms and numerical algorithms. Comm. Pure and Appl. Math 44 141–183.

    Article  MathSciNet  MATH  Google Scholar 

  3. A. Cohen, I. Daubechies and J. Feauveau (1992). Biorthogonal bases of compactly supported wavelets. Comm. Pure and Appl. Math. 45 485–560.

    Article  MathSciNet  MATH  Google Scholar 

  4. A. Cohen, S. Kaber, S. Muller and M. Postel (2000). Accurate adaptive multiresolution scheme for scalar conservation laws. Preprint, LAN University Paris.

    Google Scholar 

  5. W. Dahmen, S. Muller and T. Schlinkmann (1999). On a robust adaptive multi-grid solver for convection-dominated problems. Technical report, RWTH Aachen. IGPM Report No 171.

    Google Scholar 

  6. I. Daubechies (1992). Ten Lectures on Wavelets. SIAM, Philadelphia.

    Book  MATH  Google Scholar 

  7. M. A. H. Dempster and J. P. Hutton (1997). Numerical valuation of cross-currency swaps and swaptions. In Mathematics of Derivative Securities, eds. M. A. H. Dempster and S. R. Pliska. Cambridge University Press, 473–503.

    Google Scholar 

  8. G. Deslauriers and S. Dubuc (1989). Symmetric iterative interpolation processes. Constr. Approx 5 49–68.

    Article  MathSciNet  MATH  Google Scholar 

  9. D. Donoho (1992). Interpolating wavelet transforms. Presented at the NATO Advanced Study Institute conference, Ciocco, Italy.

    Google Scholar 

  10. B. Magee (1999). Pay attention to interest. Risk (October) 67–71.

    Google Scholar 

  11. R. Poliear The wavelet tutorial.http://www.public.iastate.edurrpolikar/wavelet.html

  12. R. Prosser and R. Cant (1998). Evaluation of nonlinear terms using interpolating wavelets. Working paper, CFD laboratory, Department of Engineering, University of Cambridge.

    Google Scholar 

  13. R. Prosser and R. Cant (1998). On the representation of derivatives using interpolating wavelets. Working paper, CFD laboratory, Department of Engineering, University of Cambridge.

    Google Scholar 

  14. R. Prosser and R. Cant (1998). On the use of wavelets in computational combustion. Working paper, CFD laboratory, Department of Engineering, University of Cambridge.

    Google Scholar 

  15. R. Prosser and R. Cant (1998). A wavelet-based method for the efficient simulation of combustion. J. Comp. Phys. 147 (2) 337–361.

    Article  MathSciNet  MATH  Google Scholar 

  16. W. Schiesser (1991). The Numerical Method of Lines. Academic Press, Inc.

    MATH  Google Scholar 

  17. W. Sweldens (1996). Building your own wavelets at home. ACM SIGGRAPH Course Notes.

    Google Scholar 

  18. O. Vasilyev, D. Yuen and S. Paolucci (1996). A fast adaptive wavelet collocation algorithm for multi-dimensional PDEs. J. Comp. Phys. 125 498–512.

    Article  MATH  Google Scholar 

  19. O. Vasilyev, D. Yuen and S. Paolucci (1997). Wavelets: an alternative approach to solving PDEs. Research Report, Supercomputer Institute, University of Minnesota.

    Google Scholar 

  20. P. Wilmott, S. Howison and J. Dewynne (1995). The Mathematics of Financial Derivatives. Cambridge University Press.

    Google Scholar 

  21. J. Xu and W. Shann (1992). Galerkin-wavelet methods for two-point boundary value problems. Numerische Mathematik 63 123–144.

    Article  MathSciNet  MATH  Google Scholar 

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© 2001 Springer Basel AG

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Dempster, M.A.H., Eswaran, A. (2001). Wavelet Based PDE Valuation of Derivatives. In: Casacuberta, C., Miró-Roig, R.M., Verdera, J., Xambó-Descamps, S. (eds) European Congress of Mathematics. Progress in Mathematics, vol 202. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8266-8_30

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  • DOI: https://doi.org/10.1007/978-3-0348-8266-8_30

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-9496-8

  • Online ISBN: 978-3-0348-8266-8

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