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dc.contributor.authorChen, Yu-wangen_US
dc.contributor.authorYang, Jian-boen_US
dc.contributor.authorXu, Dong-lingen_US
dc.contributor.authorZhang, Dongxuen_US
dc.contributor.authorAcomb, Simonen_US
dc.contributor.authorPoon, Ser-huangen_US
dc.description.abstractThe purpose of this paper is to apply a belief rule-based (BRB) system to solve the multiasset class portfolio optimisation problems. The BRB system, was developed on the basis of the concept of belief structures and the evidential reasoning (ER) approach, is a generic non-linear modelling and inference scheme. In this paper, the procedures of implementing the BRB system with RiskMetrics WealthBench to portfolio optimisation are discussed in details. Two different ways are proposed to locate the optimal portfolios under constraints supplied by the investors. Numerical studies demonstrate the effectiveness and efficiency of the proposed methodology.en_US
dc.publisherManchester Business School Manchesteren_US
dc.relation.ispartofseriesManchester Business School working paper 603en_US
dc.subject.keywordbelief rule baseen_US
dc.subject.keywordevidential reasoningen_US
dc.subject.keywordasset classen_US
dc.subject.keywordportfolio optimisationen_US
dc.titleMulti-asset portfolio optimisation using a belief rule-based systemen_US
dc.typeWorking Paperen_US
Appears in Collections:Manchester Business School Working Paper Series, The University of Manchester

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