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Binomial Models for Option Valuation - Examining and Improving Convergence

Listed author(s):
  • Leisen, D. P. J.
  • M. Reimer
Registered author(s):

    Binomial models, which rebuild the continuous setup in the limit, serve for approximative valuation of options, especially where formulas cannot be derived mathematically. Even with the valuation of European call options distorting irregularities occur. For this case, sources of convergence patterns are explained. Furthermore, it is proved order of convergence one for the Cox-Ross-Rubinstein[79] model as well as for the tree parameter selections of Jarrow and Rudd[83], and Tian[93]. Then, we define new binomial models, where the calculated option prices converge smoothly to the Black-Scholes solution and remarkably, we even achieve order of convergence two with much smaller initial error. Notably, solely the formulas to determine the constant up- and down-factors change. Finally, all tree approaches are compared with respect to speed and accuracy calculating relative root-mean-squared error of approximative option values for a sample of randomly selected parameters across a set of refinements. Approximation of American type options with the new models exhibits order of convergence one but smaller initial error than previously existing binomial models.

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    Paper provided by University of Bonn, Germany in its series Discussion Paper Serie B with number 309.

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    Length: pages
    Date of creation: Mar 1995
    Handle: RePEc:bon:bonsfb:309
    Contact details of provider: Postal:
    Bonn Graduate School of Economics, University of Bonn, Adenauerallee 24 - 26, 53113 Bonn, Germany

    Fax: +49 228 73 6884
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    1. Mark Broadie & Jérôme B. Detemple, 1994. "American Option Valuation: New Bounds, Approximations, and a Comparison of Existing Methods," CIRANO Working Papers 94s-07, CIRANO.
    2. Nelson, Daniel B & Ramaswamy, Krishna, 1990. "Simple Binomial Processes as Diffusion Approximations in Financial Models," Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 393-430.
    3. 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.
    4. Trigeorgis, Lenos, 1991. "A Log-Transformed Binomial Numerical Analysis Method for Valuing Complex Multi-Option Investments," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 26(03), pages 309-326, September.
    5. Omberg, Edward, 1988. "Efficient Discrete Time Jump Process Models in Option Pricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(02), pages 161-174, June.
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