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Numerical Valuation of High Dimensional Multivariate American Securities

Published online by Cambridge University Press:  06 April 2009

Jérôme Barraquand  and
Didier Martineau
Jérôme Barraquand
Affiliation:
Salomon Brothers International Ltd., Victoria Plaza, 111 Buckingham Palace Road, London SW1W 0SB, UK
Didier Martineau
Affiliation:
Long-Term Capital Management, 61 Conduit Street, London W1R 9FD, UK
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Abstract

We consider the problem of pricing an American contingent claim whose payoff depends on several sources of uncertainty. Several efficient numerical lattice-based techniques exist for pricing American securities depending on one or few (up to three) risk sources. However, these methods cannot be used for high dimensional problems, since their memory requirement is exponential in the number of risk sources. We present an efficient numerical technique that combines Monte Carlo simulation with a particular partitioning method of the underlying assets space, which we call Stratified State Aggregation (SSA). Using this technique, we can compute accurate approximations of prices of American securities with an arbitrary number of underlying assets. Our numerical experiments show that the method is practical for pricing American claims depending on up to 400 risk sources.

Information

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 30 , Issue 3 , September 1995 , pp. 383 - 405
Copyright
Copyright © School of Business Administration, University of Washington 1995

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