Applications of Neural Network Radial Basis Function in Economics and Financial Time Series
20 Pages Posted: 28 Aug 2010
Date Written: August 28, 2010
In this paper we present the Radial Basis Neural Network Function. We examine some simple numerical examples of time-series in economics and finance. The forecasting performance is significant superior, especially in financial time-series, to traditional econometric modeling indicating that artificial intelligence procedure are more appropriate. Some MATLAB routines are presented for further application research.
Keywords: Radial Basis Function, Neural Networks, Time-Series, Forecasting, Stock Returns, MATLAB, Error Backpropagation Algorithm
JEL Classification: C22, C45, C53, C63, G10
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