Forecasting Exchange Rates Using Neural Networks for Technical Trading Rules

We examine the performance of artificial neural networks (ANNs) for technical trading rules for forecasting daily exchange rates. The main conclusion of our attempt is that ANNs perform well, and that they are often better than linear models. Furthermore, the precise number of hidden layer units in ANNs appears less important for forecasting performance than is the choice of explanatory variables.

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Year of publication:	1998
Authors:	Franses, Philip Hans ; van Griensven, Kasper
Published in:	Studies in Nonlinear Dynamics & Econometrics. - De Gruyter, ISSN 1558-3708, ZDB-ID 1385261-9. - Vol. 2.1998, 4
Publisher:	De Gruyter
Subject:	technical analysis \| neural networks

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Type of publication:	Article
Type of publication (narrower categories):	research-article
Language:	English
Other identifiers:	10.2202/1558-3708.1033 [DOI]
Source:	Other ZBW resources

Persistent link: https://www.econbiz.de/10014620804