INVESTIGADORES
MARTINEZ Lisana BelÉn
capítulos de libros
Título:
NEURAL NETWORKS
Autor/es:
M. TERESA SORROSAL-FORRADELLAS; M. GLÒRIA BARBERÀ-MARINÉ; LISANA B. MARTINEZ; MARÍA-JOSÉ GARBAJOSA-CABELLO
Libro:
Methods For Decision Making In An Uncertain Environment
Editorial:
World Scientific
Referencias:
Año: 2012; p. 334 - 355
Resumen:
Related to the concept of memory, the value of an asset in the past and the learning experience are key elements which influence investor behavior and, consequently, the future evolution of financial prices. In this study we focus on memory of time series, that is to say, in the way that past observations affect the future values of a financial variable. We use artificial neural networks because of its flexibility to adjust to any type of functional relationship, without the need to define it previously. As a specific case, we apply a backpropagation network to predict the price of the IBEX-35 index. Our results suggest that future prices depend on past prices, but this influence is not permanent.
