Title
Mean-Entropy-Skewness Fuzzy Portfolio Selection by Credibility Theory Approach
Abstract
In this paper fuzzy mean-entropy-skewness models are proposed for optimal portfolio selection. Entropy is favored as a measure of risk as it is free from dependence on symmetric probability distribution. Credibility theory is applied to evaluate fuzzy mean, skewness and entropy. Hybrid intelligence algorithm is used for simulation. Numerical examples are given in favor of each of the models.
Year
DOI
Venue
2009
10.1007/978-3-642-11164-8_98
PReMI
Keywords
Field
DocType
mean-entropy-skewness fuzzy portfolio selection,hybrid intelligence algorithm,paper fuzzy mean-entropy-skewness model,credibility theory,optimal portfolio selection,symmetric probability distribution,fuzzy mean,credibility theory approach,numerical example,probability distribution
Econometrics,Skewness,Computer science,Fuzzy logic,Symmetric probability distribution,Portfolio,Post-modern portfolio theory,Credibility theory,Portfolio optimization
Conference
Volume
ISSN
Citations 
5909
0302-9743
1
PageRank 
References 
Authors
0.37
9
4
Name
Order
Citations
PageRank
Rupak Bhattacharyya1462.58
Mohuya B. Kar2254.53
Samarjit Kar360863.41
d majumder4427.85