Multivariate Time Series Modelling of Financial Markets with Artificial Neural Networks

  • Thomas Ankenbrand
  • Marco Tomassini
Conference paper


This work presents an integrated approach for modelling the behaviour of financial markets with Artificial Neural Networks (ANNs). The model allows to forecast financial time series. Its originality lies in the fact that it is based on statistics and macroeconomics principles and it integrates fundamental economic knowledge in a multivariate nonlinear time series ANN model. The model is applied to real-life case studies and the results are discussed.


Interest Rate Financial Market Stock Index Hurst Exponent Feasibility Analysis 
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Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • Thomas Ankenbrand
    • 1
  • Marco Tomassini
    • 2
    • 3
  1. 1.Institut d’Informatique Faculté des SciencesUniversity of LausanneSwitzerland
  2. 2.Swiss Centre of Scientific ComputingMannoSwitzerland
  3. 3.Laboratoire de Systèmes Logiques, Departement d’InformatiqueEcole Polytechnique Fédérale de LausanneSwitzerland

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