DocumentCode :
1782737
Title :
Value and risk in investment portfolios, critical variables calculated from an intelligent hybrid system based on CBR
Author :
Estrada, Ernesto Camilo Diaz ; Toro, Carlos Hernan Fajardo
Author_Institution :
Programa de Ingeniería Industrial, Universidad del Atlántico, Barranquilla, Colombia
fYear :
2014
fDate :
18-21 June 2014
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents the partial results obtained at the doctoral work titled ADAPTIVE HYBRID SYSTEM FOR THE VALUE AT RISK ESTIMATION ON PORTFOLIOS, where different AI techniques are used. This expert system tries to predict the portfolio variability with two o more assets, where the ROI and the risk rate are vital to define the efficient frontier market proposed by Markowitz.
Keywords :
Adaptation models; Computational modeling; Educational institutions; Genetic algorithms; Portfolios; Reactive power; Robustness; CBR; Optimization; Portfolio; Value at Risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona, Spain
Type :
conf
DOI :
10.1109/CISTI.2014.6876976
Filename :
6876976
Link To Document :
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