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Working Paper

Binomial Approximation in Financial Models: Computational Simplicity and Convergence

This paper explores the potential of transformation and other schemes in constructing a sequence of simple binomial processes that weakly converges to the desired diffusion limit. Convergence results are established for valuing both European and American contingent claims when the underlying asset prices are approximated by simple binomial processes. We also demonstrate how to construct reflecting and absorbing binomial processes to approximate diffusions with boundaries. Numerical examples show that the proposed simple approximations not only converge, but also give more accurate results than existing methods, such as that of Nelson and Ramaswamy (1990), especially for longer maturities.

Working Papers of the Federal Reserve Bank of Cleveland are preliminary materials circulated to stimulate discussion and critical comment on research in progress. They may not have been subject to the formal editorial review accorded official Federal Reserve Bank of Cleveland publications. The views expressed in this paper are those of the authors and do not represent the views of the Federal Reserve Bank of Cleveland or the Federal Reserve System.


Suggested Citation

Li, Anlong. 1992. “Binomial Approximation in Financial Models: Computational Simplicity and Convergence.” Federal Reserve Bank of Cleveland, Working Paper No. 92-01. https://doi.org/10.26509/frbc-wp-199201