High-Performance American Option Pricing

50 Pages Posted: 2 Aug 2016

Multiple version iconThere are 2 versions of this paper

Date Written: August 1, 2016

Abstract

We develop a new high-performance spectral collocation method for the computation of American put and call option prices. The proposed algorithm involves a carefully posed Jacobi-Newton iteration for the optimal exercise boundary, aided by Gauss-Legendre quadrature and Chebyshev polynomial interpolation on a certain transformation of the boundary. The resulting scheme is straightforward to implement and converges at a speed several orders of magnitude faster than existing approaches.

Computational effort depends on required accuracy; at precision levels similar to, say, those computed by a finite-difference grid with several hundred steps, the computational throughput of the algorithm in the Black-Scholes model is typically close to 100 000 option prices per second per CPU. For benchmarking purposes, Black-Scholes American option prices can generally be computed to ten or eleven significant digits in less than one-tenth of a second.

Keywords: american options, integral, computational finance

Suggested Citation

Andersen, Leif B.G. and Lake, Mark and Offengenden, Dimitri, High-Performance American Option Pricing (August 1, 2016). Journal of Computational Finance, 20(1), 39-87, DOI:10.21314/JCF.2016.312 , Available at SSRN: https://ssrn.com/abstract=2816818

Leif B.G. Andersen (Contact Author)

Bank of America ( email )

One Bryant Park
New York, NY 10036
United States
646-855-1835 (Phone)

Mark Lake

Bank of America Merrill Lynch ( email )

One Bryant Park
New York, NY 10036
United States

Dimitri Offengenden

Strategist ( email )

United States

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