Index fund selections with genetic algorithms and heuristic classifications
Computers and Industrial Engineering
A multi-objective evolutionary approach to the portfolio optimization problem
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Index tracking with constrained portfolios: Research Articles
International Journal of Intelligent Systems in Accounting and Finance Management
A memetic model of evolutionary PSO for computational finance applications
Expert Systems with Applications: An International Journal
Using genetic algorithm to support portfolio optimization for index fund management
Expert Systems with Applications: An International Journal
IEEE Computational Intelligence Magazine
Multicriteria decision making (MCDM): a framework for research and applications
IEEE Computational Intelligence Magazine
Portfolio construction using argumentation and hybrid evolutionary forecasting algorithms
International Journal of Hybrid Intelligent Systems - CIMA-08
Hybrid approaches and dimensionality reduction for portfolio selection with cardinality constraints
IEEE Computational Intelligence Magazine
Simultaneous concept-based evolutionary multi-objective optimization
Applied Soft Computing
Software project portfolio optimization with advanced multiobjective evolutionary algorithms
Applied Soft Computing
Application notes: dynamic physical behavior analysis for financial trading decision support
IEEE Computational Intelligence Magazine
A fuzzy index tracking portfolio selection model
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
A particle swarm optimization heuristic for the index tacking problem
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
Multi-objective optimization and decision making approaches to cricket team selection
Applied Soft Computing
Hi-index | 0.00 |
Index tracking has been gaining in popularity in recent years, as sustainable and stable yields exceeding market returns proved to be elusive. Leveraging on the search capability of evolutionary algorithm, this paper proposed a multi-objective evolutionary index tracking platform that could simultaneously optimize both tracking performance and transaction costs throughout the investment horizon and address various real-world implementation issues in index tracking. For model evaluation, a realistic instantiation of the index tracking optimization problem that accounted for stochastic capital injections, practical transactional cost structures and other real-world constraints was formulated. Portfolio rebalancing strategies for the alignment of the tracker portfolio to time-varying market conditions were investigated also. Empirical studies based on equity indices from major global markets were conducted and the results validated the tracking capability of the proposed index tracking system in out-of-sample data sets, whilst minimizing transaction costs throughout the investment horizon.