Differential Evolution for Multiobjective Portfolio Optimization
Financial portfolio optimization is a challenging problem. First, the problem is multiobjective (i.e.: minimize risk and maximize profit) and the objective functions are often multimodal and non smooth (e.g.: value at risk). Second, managers have often to face real-world constraints, which are typically non-linear. Hence, conventional optimization techniques, such as quadratic programming, cannot be used. Stochastic search heuristic can be an attractive alternative. In this paper, we propose a new multiobjective algorithm for portfolio optimization: DEMPO - Differential Evolution for Multiobjective Portfolio Optimization. The main advantage of this new algorithm is its generality, i.e., the ability to tackle a portfolio optimization task as it is, without simplifications. Our empirical results show the capability of our approach of obtaining highly accurate results in very reasonable runtime, in comparison with quadratic programming and another state-of-art search heuristic, the so-called NSGA II.
|Date of creation:||Jan 2008|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.economia.unimore.it|
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Doganoglu, Toker & Hartz, Christoph & Mittnik, Stefan, 2006.
"Portfolio optimization when risk factors are conditionally varying and heavy tailed,"
CFS Working Paper Series
2006/24, Center for Financial Studies (CFS).
- Toker Doganoglu & Christoph Hartz & Stefan Mittnik, 2007. "Portfolio optimization when risk factors are conditionally varying and heavy tailed," Computational Economics, Society for Computational Economics, vol. 29(3), pages 333-354, May.
- M. Gilli & E. Kellezi & H. Hysi, 2006.
"A Data-Driven Optimization Heuristic for Downside Risk Minimization,"
Computing in Economics and Finance 2006
355, Society for Computational Economics.
- Manfred Gilli & Evis Këllezi & Hilda Hysi, . "A Data-Driven Optimization Heuristic for Downside Risk Minimization," Swiss Finance Institute Research Paper Series 06-02, Swiss Finance Institute.
- R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
When requesting a correction, please mention this item's handle: RePEc:mod:wcefin:08012. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Giuseppe Marotta)
If references are entirely missing, you can add them using this form.