Title :
A Model for Portfolio Selection Based on Particle Swarm Optimization with Escape Velocity
Author_Institution :
Sch. of Inf., Central Univ. of Finance & Econ., Beijing, China
Abstract :
An improved model for portfolio selection based on particle swarm optimization with escape velocity (EVPSO) algorithm is proposed. Firstly, the predilection coefficient is introduced to the model to make the investor choose the invest project according to their preference and find the balance between the invest income and risk conveniently. Secondly, the EVPSO algorithm is applied to the model to achieve the optimal ratio. Finally, a demonstration is presented by analysis of three stocks.
Keywords :
investment; particle swarm optimisation; risk analysis; invest income; invest risk; particle swarm optimization with escape velocity algorithm; portfolio selection; Biological system modeling; Economics; Finance; IEEE Press; Mathematical model; Particle swarm optimization; Portfolios; income; investment model; particle swarm optimization; portfolio; risk;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.883
