Using Artificial Neural Network to predict the NASDAQ evolution

The authors present the result of a research that uses already trained and validated artificial neural networks (ANN) in order to simulate evolution of NASDAQ High values relatively to the evolution of the Nikkei 225 and the Shanghai Stock Exchange from the previous day. The development, training and testing the ANN as a predicting tool, offered good results as the maximum errors between the simulated NASDAQ values and real ones were smaller than 5%.

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Year of publication:	2012
Authors:	Constantin, Ilie ; Margareta, Ilie ; Ana-Maria, Topalu
Published in:	Ovidius University Annals, Economic Sciences Series. - Facultatea de Ştiinţe Economice, ISSN 1582-9383. - Vol. XII.2012, 3, p. 32-32
Publisher:	Facultatea de Ştiinţe Economice
Subject:	Artificial intelligence \| Artificial Neural Network (ANN) \| Nikkei 225 \| Shanghai Stock Exchange (SSE) \| NASDAQ

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Extent:	application/pdf
Type of publication:	Article
Classification:	C53 - Forecasting and Other Model Applications
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010711196