Title
A New Fuzzy Portfolio Model Based on Background Risk Using MCFOA
Abstract
This paper proposes a new fuzzy model for portfolio selection problem, which takes into account the vagueness of the investor’s preferences. The model proposed in this paper also regards the elastic increment of decision-making risk, background risk, and other financial risks. In order to solve this model, we present a modified evolutionary algorithm called modified chaos fruit fly optimization algorithm, which is more adequate when a quick and efficient solution is needed. Numerical examples are given to illustrate the effect of the background risk on portfolio selection.
Year
DOI
Venue
2015
10.1007/s40815-015-0017-4
International Journal of Fuzzy Systems
Keywords
Field
DocType
Fuzzy portfolio model,Background risk,Elastic increment,Modified chaos fruit fly optimization algorithm
Financial risk,Mathematical optimization,Fuzzy model,Vagueness,Evolutionary algorithm,Fuzzy logic,Portfolio,Portfolio optimization,Optimization algorithm,Mathematics
Journal
Volume
Issue
ISSN
17
2
1562-2479
Citations 
PageRank 
References 
5
0.46
4
Authors
3
Name
Order
Citations
PageRank
Wei-Jun Xu115414.56
xiong deng250.46
jia li350.46