Investment Strategies Optimization based on a SAX-GA Methodology

• Main Authors: Canelas, António M.L (Author), Neves, Rui F.M.F (Author), Horta, Nuno C.G (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: SpringerBriefs in Applied Sciences and Technology,
• Subjects: Engineering.; Artificial intelligence.; Economics, Mathematical.; Computational intelligence.; Macroeconomics.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Macroeconomics/Monetary Economics//Financial Economics.; Quantitative Finance.

This book presents a new computational finance approach combining a Symbolic Aggregate approXimation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX representation is used to describe the financial time series, the evolutionary optimization kernel is used...