The Evolving Returns Optimisation System, Eros
Authors: Loukeris, Nikolaos 
Publisher: IEEE
Issue Date: 1-Oct-2021
Conference: 2021 International Conference on Data Analytics for Business and Industry (ICDABI), 25-26 October 2021 
Book: 2021 International Conference on Data Analytics for Business and Industry (ICDABI) 
Keywords: Chaotic dynamics, Generalized feed forward, Genetic algorithms, Portfolio optimization, Stochastic differential equations, Support vector machines, Tsallis statistics
Abstract: 
The Evolving Returns optimisation System EROS is created in a novel form to address multiple aspects of the modern portfolio theory: i) the investor behavior, ii) the incorporation of the behavior to the stochastic differential equations to describe the price efficiently under the new trends of Chaotic Dynamics described by Tsallis Statistics on entropy in the frame of Fractal Market Hypothesis, iii) the selection of the optimal classifier between 60 Self Organized Features Maps and 70 Generalized Feed Forward models of plain and hybrid form and v) the production of the integrated model EROS to perform financial intelligence allocating optimal portfolia.
ISBN: 9781665416566
DOI: 10.1109/ICDABI53623.2021.9655962
URI: https://uniwacris.uniwa.gr/handle/3000/2209
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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