Back to Search Start Over

A multi-objective genetic algorithm for cardinality constrained fuzzy portfolio selection

Authors :
Bermúdez, J.D.
Segura, J.V.
Vercher, E.
Source :
Fuzzy Sets & Systems. Feb2012, Vol. 188 Issue 1, p16-26. 11p.
Publication Year :
2012

Abstract

Abstract: This paper presents a new procedure that extends genetic algorithms from their traditional domain of optimization to fuzzy ranking strategy for selecting efficient portfolios of restricted cardinality. The uncertainty of the returns on a given portfolio is modeled using fuzzy quantities and a downside risk function is used to describe the investor''s aversion to risk. The fitness functions are based both on the value and the ambiguity of the trapezoidal fuzzy number which represents the uncertainty on the return. The soft-computing approach allows us to consider uncertainty and vagueness in databases and also to incorporate subjective characteristics into the portfolio selection problem. We use a data set from the Spanish stock market to illustrate the performance of our approach to the portfolio selection problem. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01650114
Volume :
188
Issue :
1
Database :
Academic Search Index
Journal :
Fuzzy Sets & Systems
Publication Type :
Academic Journal
Accession number :
67246971
Full Text :
https://doi.org/10.1016/j.fss.2011.05.013