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On the efficient application of the repeated Richardson extrapolation technique to option pricing

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Author Info
Luca Barzanti () (University of Bologna)
Corrado Corradi () (University of Bologna)
Martina Nardon () (Department of Applied Mathematics, University of Venice)

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Abstract

Richardson extrapolation (RE) is a commonly used technique in financial applications for accelerating the convergence of numerical methods. Particularly in option pricing, it is possible to refine the results of several approaches by applying RE, in order to avoid the difficulties of employing slowly converging schemes. But the effectiveness of such a technique is fully achieved when its repeated version (RRE) is applied. Nevertheless, its application in financial literature is pretty rare. This is probably due to the necessity to pay special attention to the numerical aspects of its implementation, such as the choice of both the sequence of the stepsizes and the order of the method. In this contribution, we consider several numerical schemes for the valuation of American options and investigate the possibility of an appropriate application of RRE. As a result, we find that, in the analyzed approaches in which the convergence is monotonic, RRE can be used as an effective tool for improving significantly the accuracy.

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Publisher Info
Paper provided by Department of Applied Mathematics, University of Venice in its series Working Papers with number 147.

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Length: 19 pages
Date of creation: Nov 2006
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Handle: RePEc:vnm:wpaper:147

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Related research
Keywords: Richardson extrapolation; repeated Richardson extrapolation; American options; randomization technique; flexible binomial method;

Find related papers by JEL classification:
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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  1. Bunch, David S & Johnson, Herb, 1992. " A Simple and Numerically Efficient Valuation Method for American Puts Using a Modified Geske-Johnson Approach," Journal of Finance, American Finance Association, vol. 47(2), pages 809-16, June. [Downloadable!] (restricted)
  2. Cox, John C. & Ross, Stephen A. & Rubinstein, Mark, 1979. "Option pricing: A simplified approach," Journal of Financial Economics, Elsevier, vol. 7(3), pages 229-263, September. [Downloadable!] (restricted)
  3. Ju, Nengjiu, 1998. "Pricing an American Option by Approximating Its Early Exercise Boundary as a Multipiece Exponential Function," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 11(3), pages 627-46.
  4. Huang, Jing-zhi & Subrahmanyam, Marti G & Yu, G George, 1996. "Pricing and Hedging American Options: A Recursive Integration Method," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 9(1), pages 277-300. [Downloadable!] (restricted)
  5. Geske, Robert & Johnson, Herb E, 1984. " The American Put Option Valued Analytically," Journal of Finance, American Finance Association, vol. 39(5), pages 1511-24, December. [Downloadable!] (restricted)
  6. Breen, Richard, 1991. "The Accelerated Binomial Option Pricing Model," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 26(02), pages 153-164, June. [Downloadable!]
  7. Carr, Peter, 1998. "Randomization and the American Put," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 11(3), pages 597-626.
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