Applications of Neural Network Radial Basis Function in Economics and Financial Time Series

20 Pages Posted: 28 Aug 2010

See all articles by Eleftherios Giovanis

Eleftherios Giovanis

Izmir Bakircay University International Trade and Business; Economic Research Forum (ERF)

Date Written: August 28, 2010

Abstract

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

Suggested Citation

Giovanis, Eleftherios, Applications of Neural Network Radial Basis Function in Economics and Financial Time Series (August 28, 2010). Available at SSRN: https://ssrn.com/abstract=1667442 or http://dx.doi.org/10.2139/ssrn.1667442

Eleftherios Giovanis (Contact Author)

Izmir Bakircay University International Trade and Business ( email )

Gazi Mustafa Kemal Mahallesi
Kaynak Caddesi Seyrek Menemen
Izmir, 35660
Turkey

Economic Research Forum (ERF) ( email )

21 Al-Sad Al-Aaly St.
(P.O. Box: 12311)
Dokki, Cairo
Egypt

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