A Neuro-evolutionary Approach to Intraday Financial Modeling

  • Antonia Azzini
  • Mauro Dragoni
  • Andrea G. B. Tettamanzi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7248)

Abstract

We investigate the correlations among the intraday prices of the major stocks of the Milan Stock Exchange by means of a neuro-evolutionary modeling method. In particular, the method used to approach such problem is to apply a very powerful natural computing analysis tool, namely evolutionary neural networks, based on the joint evolution of the topology and the connection weights together with a novel similarity-based crossover, to the analysis of a financial intraday time series expressing the stock quote variations of the FTSE MIB components. We show that it is possible to obtain extremely accurate models of the variations of the price of one stock based on the price variations of the other components of the stock list, which may be used for statistical arbitrage.

Keywords

Evolutionary Algorithms Neural Networks Intraday Trading Statistical Arbitrage 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Antonia Azzini
    • 1
  • Mauro Dragoni
    • 2
  • Andrea G. B. Tettamanzi
    • 1
  1. 1.Dipartimento di Tecnologie dell’InformazioneUniversità degli Studi di MilanoCremaItaly
  2. 2.Fondazione Bruno Kessler (FBK-IRST)Povo (Trento)Italy

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