Forecasting exchange rates using an evolutionary neural network

In this article, we employ an Evolutionary Neural Network to forecast exchange rates returns for the Japanese Yen and the British Pound against the US dollar. This method combines genetic programming and neural network methodologies. Empirical results show the existence of a short-term weak predictable structure for both currencies. Therefore, they do not support the hypothesis that the exchange rates follow a random walk and that returns are unpredictable.

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Year of publication:	2007
Authors:	Alvarez-Diaz, Marcos ; Alvarez, Alberto
Published in:	Applied Financial Economics Letters. - Taylor and Francis Journals, ISSN 1744-6546. - Vol. 3.2007, 1, p. 5-9
Publisher:	Taylor and Francis Journals

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005495931