Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series

Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/119646

Title:	Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
Author:	Lagos Sanchez, Alexander
Director:	Ventura, Carles
Tutor:	Burguera, Antoni
Abstract:	The following work seeks to evaluate traditional methodologies of time series forecasting compared to the newest artificial intelligence algorithms. Economic and financial time series are used in order to evaluate the efectiveness of these procedures so that this has an economic and practical significance.
Keywords:	neural networks forecasting time series
Document type:	info:eu-repo/semantics/masterThesis
Issue Date:	Jun-2020
Publication license:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Appears in Collections:	Bachelor thesis, research projects, etc.