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Forecasting price increments using an artificial Neural Network (2000)  (Make Corrections)  
Filippo Castiglione



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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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168   Time Series Prediction: Forecasting the Future and Understan.. (context) - Weigend, editors - 1994
122   The Econometrics of Financial Markets (context) - Campbell, Lo et al. - 1997
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22   Artificial Neural Networks approximation and Learning Theory (context) - White - 1992
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