Performance Investigation and Comparison of Two Evolutionary Algorithms in Portfolio Optimization:Genetic and Particle Swarm Optimization
Contrary to the growing use of portfolios and in spite of its rich literature,there are some problems and unanswered questions.The aim of this work is to be a useful instrument for helping finance practitioners and researchers with the portfolio selection problem.This study first reviews Modern Portfolio Theorys literature and describes the investment selection process.Second,this paper specifically aims at applying efficient optimization methods for solving the portfolio selection problem.Hence,the genetic algorithm and the particle swarm optimization (PSO) approaches to resolve the portfolio selection problem with the objective of simultaneous risk minimization/return maximization are applied.Computational analyses are provided so as to investigate the performance of the algorithms and the input data.Therefore,at one step,four different portfolios are selected from Tehran Stock Exchange market,SO top companies (Annual and monthly-based portfolios).Finally,this paper applies the selected portfolios to the stock market data of a 10-month period proceeding portfolios constructions.The results indicate that,the genetic annual-based portfolio has the best performance in contrast to its other counterparts;it outperforms the average return of market portfolio in a relatively short period.Moreover,PSO annual-based portfolio has a relatively good performance and could achieve the market portfolios return during the test period.Findings show that using annual data is more efficient than the monthly data.On the whole,the results show that the evolutionary methods of this paper with annual data,can consistently handle the practical portfolio selection problem.
Modern Portfolio Theory (MPT) Portfolio management Genetic algorithm Particle Swarm Optimization
Arash Talebi Mohammad Ali Molaei Mohammad Javad Sheikh
M.B.A.Student,dept.of Industrial Engineering and Management Shahrood University of Technology Shahro Assistant Professor,dept.of Industrial Engineering and Management Shahrood University of Technology Assistant Professor,dept.of Humanities Shahed University Tehran,Iran
国际会议
重庆
英文
430-437
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）