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.

A neuro-evolutionary approach to intraday financial modeling / A. Azzini, M. Dragoni, A.G.B. Tettamanzi - In: Applications of evolutionary computation EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC : Málaga, Spain, april 11-13, 2012 : proceedings / [a cura di] C. Di Chio ... [et al].. - Berlin : Springer, 2012. - ISBN 9783642291777. - pp. 155-164 (( convegno EvoApplications tenutosi a Málaga nel 2012 [10.1007/978-3-642-29178-4_16].

A neuro-evolutionary approach to intraday financial modeling

A. Azzini
Primo
;
A.G.B. Tettamanzi
Ultimo
2012

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.
Evolutionary Algorithms ; Neural networks ; Intraday trading ; Statistical arbitrage
Settore INF/01 - Informatica
2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/177926
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