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A semilinear Black and Scholes partial differential equation for valuing American options: approximate solutions and convergence
Author(s) -
Fred Espen Benth,
Kenneth H. Karlsen,
Kristin Reikvam
Publication year - 2004
Publication title -
interfaces and free boundaries mathematical analysis computation and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.964
H-Index - 39
eISSN - 1463-9971
pISSN - 1463-9963
DOI - 10.4171/ifb/106
Subject(s) - partial differential equation , convergence (economics) , black–scholes model , mathematics , first order partial differential equation , mathematical economics , mathematical analysis , economics , econometrics , volatility (finance) , economic growth
In (7), we proved that the American (call/put) option valuation problem can be stated in terms of one single semilinear Black and Scholes partial differential equation set in a fixed domain. The semilinear Black and Scholes equation constitutes a starting point for designing and analyzing a variety of "easy to implement" numerical schemes for computing the value of an American option. To demonstrate this feature, we propose and analyze an upwind finite difference scheme of "predictor-corrector type" for the semilinear Black and Scholes equation. We prove that the approximate solutions generated by the predictor-corrector scheme respect the early exercise constraint and that they converge uniformly to the American option value. A numerical example is also presented. Besides the predictor-corrector schemes, other methods for constructing approximate solution sequences are discussed and analyzed.

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