USING A DYNAMIC ARTIFICIAL NEURAL NETWORK FOR FORECASTING THE VOLATILITY OF A FINANCIAL TIME SERIES

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Bibliographic Details
Main Author:	Juan D. Velásquez
Format:	Artículo científico
Language:	en
Published:	Universidad de Medellín 2013
Subjects:	Ingeniería prediction nonlinear models heteroskedasticity Volatility forecast
Online Access:	Acceder al recurso
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