CONTROL OF CORPORATE OWNERSHIP IN THE EVOLUTIONAL PORTFOLIO INTELLIGENT COMPLEX OPTIMIZATION (EPICO) MODEL

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Iordanis Eleftheriadis ORCID logo, Nikolaos Loukeris ORCID logo

https://doi.org/10.22495/cocv14i4c1art12

Abstract

We introduce a new methodology that incorporates advanced higher moments evaluation in a new approach of the Portfolio Selection problem, supported by effective Computational Intelligence models. The Evolutional Portfolio Intelligent Complex Optimization (EPICO) model extracts hidden patterns out of the numerous accounting data and financial statements filtering misguiding effects such as noise or fraud, offering an optimal portfolio selection method.

Keywords: Isoelastic Utility Finction, Higher moments, Recurrent Neural Networks, Time-Lag Recurrent Neural Networks, Jordan-Elman Neural Networks, MLP, Hybrid Networks, Genetic Algorithms, Portfolio Optimization

Received: 27.03.2017

Accepted: 02.06.2017

How to cite this paper: Loukeris, N., & Eleftheriadis, I. (2017). Control of corporate ownership in the evolutional portfolio intelligent complex optimization (EPICO) model. Corporate Ownership & Control, 14(4-1), 301-313. https://doi.org/10.22495/cocv14i4c1art12