Volatility Forecasting using Hybrid GARCH Neural Network Models: The Case of the Italian Stock Market

<p>In several financial applications, it is extremely useful to predict volatility with the highest precision. Neural Networks alongside GARCH-type models have been extensively employed in the last decades for estimating volatility of financial indices. The motivation of this survey is to deci...

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Bibliographic Details
Main Authors: Dimitrios Kartsonakis Mademlis, Nikolaos Dritsakis
Format: Article
Language:English
Published: EconJournals 2021-01-01
Series:International Journal of Economics and Financial Issues
Online Access:https://econjournals.com/index.php/ijefi/article/view/10842