Article ID: | iaor20125947 |
Volume: | 223 |
Issue: | 3 |
Start Page Number: | 775 |
End Page Number: | 784 |
Publication Date: | Dec 2012 |
Journal: | European Journal of Operational Research |
Authors: | Yang Jian-Bo, Xu Dong-Ling, Chen Yu-Wang, Poon Ser-Huang, Zhang Dongxu, Acomb Simon |
Keywords: | investment, simulation: applications |
A belief rule‐based (BRB) system is a generic nonlinear modelling and inference scheme. It is based on the concept of belief structures and evidential reasoning (ER), and has been shown to be capable of capturing complicated nonlinear causal relationships between antecedent attributes and consequents. The aim of this paper is to develop a BRB system that complements the RiskMetrics WealthBench system for portfolio optimisation with nonlinear cash‐flows and constraints. Two optimisation methods are presented to locate efficient portfolios under different constraints specified by the investors. Numerical studies demonstrate the effectiveness and efficiency of the proposed methodology.