Evaluating the performance of a EuroDivisia index using artificial intelligence techniques

Jane M. Binner, Alicia M. Gazely, G. Kendall

Research output: Preprint or Working paperWorking paper

Abstract

We compare two methods in order to predict inflation rates in Europe. One method uses a standard back propagation neural network and the other uses an evolutionary approach, where the network weights and the network architecture is evolved. Results indicate that back propagation produces superior results. However, the evolving network still produces reasonable results with the advantage that the experimental set-up is minimal. Also of interest is the fact that the Divisia measure of money is superior as a predictive tool over simple sum.
Original languageEnglish
Place of PublicationBirmingham (UK)
PublisherAston University
ISBN (Print)978-1-85449-715-4
Publication statusPublished - Nov 2007

Publication series

NameAston Business School research papers
PublisherAston University
VolumeRP0725

Keywords

  • EuroDivisia
  • Divisia money
  • inflation
  • evolutionary strategies
  • neural networks

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