Risk-Constrained Dynamic Active Portfolio Management
Management Science
Hybrid search for cardinality constrained portfolio optimization
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Index tracking with constrained portfolios: Research Articles
International Journal of Intelligent Systems in Accounting and Finance Management
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Experimental study on a hybrid nature-inspired algorithm for financial portfolio optimization
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Hi-index | 0.00 |
Hybrid intelligent systems are becoming more and more popular in solving nondeterministic polynomial-time --- hard optimization problems. Lately, the focus is on nature --- inspired intelligent algorithms, whose main advantage is the exploitation of unique features of natural systems. One type of complex optimization problems is the active portfolio management, where the incorporation of complex, realistic constraints makes it difficult for traditional numerical methods to deal with it. In this paper we perform a computational study of a hybrid Ant Colony Optimization algorithm. The application is a specific formulation of the problem. Our main aim in this paper is to introduce a new framework of study in the field of active portfolio management, where the main interest lies in minimizing the risk of the portfolio return falling below the benchmark. Secondary, we provide some preliminary results regarding the use of a new hybrid nature --- inspired scheme in solving this type of problem.