(Enter summary)
Abstract: . Financial forecasting is a difficult task due to the intrinsic complexity
of the financial system. A simplified approach in forecasting is given
by "black box" methods like neural networks that assume little about the
structure of the economy. In the present paper we relate our experience using
neural nets as financial time series forecast method. In particular we show that
a neural net able to forecast the sign of the price increments with a success
rate slightly above 50 percent can... (Update)
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BibTeX entry: (Update)
@misc{ castiglione-forecasting,
author = "Filippo Castiglione",
title = "Forecasting price increments using an artificial Neural Network",
url = "citeseer.ist.psu.edu/castiglione00forecasting.html" }
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