We propose a very efficient numerical method to solve a nonlinear partial differential problem that is encountered in the pricing of American options. In particular, by using the front-fixing approach originally developed in Wu and Kwok (J Financ Eng 6:83–97, 1997) and Nielsen et al. (J Comput Finance 5:69–97, 2002) in conjunction with a suitable change of the time variable, a (nonlinear) partial differential problem is obtained which can be solved very efficiently by means of a finite difference scheme enhanced by repeated Richardson extrapolation. Numerical results are presented showing that the novel algorithm yields excellent results, and performs significantly better than a finite different method with Bermudan approximation.

Ballestra, L.V. (2018). Fast and accurate calculation of American option prices. DECISIONS IN ECONOMICS AND FINANCE, 41(2), 399-426 [10.1007/s10203-018-0224-1].

Fast and accurate calculation of American option prices

Ballestra, Luca Vincenzo
2018

Abstract

We propose a very efficient numerical method to solve a nonlinear partial differential problem that is encountered in the pricing of American options. In particular, by using the front-fixing approach originally developed in Wu and Kwok (J Financ Eng 6:83–97, 1997) and Nielsen et al. (J Comput Finance 5:69–97, 2002) in conjunction with a suitable change of the time variable, a (nonlinear) partial differential problem is obtained which can be solved very efficiently by means of a finite difference scheme enhanced by repeated Richardson extrapolation. Numerical results are presented showing that the novel algorithm yields excellent results, and performs significantly better than a finite different method with Bermudan approximation.
2018
Ballestra, L.V. (2018). Fast and accurate calculation of American option prices. DECISIONS IN ECONOMICS AND FINANCE, 41(2), 399-426 [10.1007/s10203-018-0224-1].
Ballestra, Luca Vincenzo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/653290
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