Paper Info
Title
A Particle Swarm Optimisation Approach in the Construction of Optimal Risky Portfolios
Abstract
In this paper, we apply particle swarm optimisation to the construction of optimal risky portfolios for financial investments. Constructing an optimal risky portfolio is a high-dimensional constrained optimisation problem where financial investors look for an optimal combination of their investments among different financial assets with the aim of achieving a maximum reward-to-variability ratio. A particle swarm solver is developed and tested on various restricted and unrestricted risky investment portfolios. The particle swarm solver demonstrates high computational efficiency in constructing optimal risky portfolios of less than fifteen assets. The effectiveness of a weighting function in the particle swarm optimisation algorithm is also studied.
Year
Venue
Keywords
2005
Artificial Intelligence and Applications
swarm intelligence,optimal risky portfolio.,portfolio management,particle swarm optimisation,stock market
Field
DocType
Citations 
Particle swarm optimization,Mathematical optimization,Economics,Multi-swarm optimization,Portfolio,Solver
Conference
1
PageRank 
References 
Authors
0.37
5
2
Name
Order
Citations
PageRank
Graham Kendall110.71
Yan Su210.71