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20 April 2024
 
  » arxiv » cond-mat/0211260

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Pricing Derivatives by Path Integral and Neural Networks
G. Montagna ; M. Morelli ; O. Nicrosini ; P. Amato ; M. Farina ;
Date 13 Nov 2002
Subject Statistical Mechanics; Disordered Systems and Neural Networks | cond-mat.stat-mech cond-mat.dis-nn
AbstractRecent progress in the development of efficient computational algorithms to price financial derivatives is summarized. A first algorithm is based on a path integral approach to option pricing, while a second algorithm makes use of a neural network parameterization of option prices. The accuracy of the two methods is established from comparisons with the results of the standard procedures used in quantitative finance.
Source arXiv, cond-mat/0211260
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