A numerical evaluation of meta-heuristic techniques in portfolio optimisation
Authors: Loukeris, Nikolaos 
Donelly, D. 
Peng, Y. 
Khuman, A. 
Issue Date: 1-May-2009
Journal: Operational Research 
Volume: 9
Issue: 1
Keywords: Efficient frontier, Heuristics, Portfolio management, Power and quadratic utility
Abstract: 
Optimal portfolio management under only mean and variance/covariance measures in Markowitz (J Finance 7(1):77–91, 1952; J Polit Econ:152–158, 1952) and Tobin (Rev Econ Stud 25:65–86, 1958; Econometrica 26(1):24–36, 1958) framework, is inefficient in real stock markets, as investors do not have quadratic utility functions, and returns are not normally, independently, and identically distributed. Hence alternative forms of utility functions with further higher moments such as the power utility should be used, but these do not provide closed form solutions towards a good feasible portfolio selection. A variety of innovative heuristics have been put forward recently. Hence implementing empirical data, we test and compare different heuristic techniques for portfolio management with power utility as well as contrasting the differences between power utility maximised portfolios and quadratic utility maximised portfolios.
ISSN: 1866-1505
1109-2858
DOI: 10.1007/s12351-008-0028-0
URI: https://uniwacris.uniwa.gr/handle/3000/2195
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

CORE Recommender
Show full item record

SCOPUSTM   
Citations

29
checked on Aug 10, 2024

Page view(s)

14
checked on Aug 15, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.