Portfolio selection using λ mean and hybrid entropy

Portfolio selection using λ mean and hybrid entropy

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Article ID: iaor20114106
Volume: 185
Issue: 1
Start Page Number: 213
End Page Number: 229
Publication Date: May 2011
Journal: Annals of Operations Research
Authors: , ,
Keywords: decision theory: multiple criteria, fuzzy sets
Abstract:

This paper develops a λ mean‐hybrid entropy model to deal with portfolio selection problem with both random uncertainty and fuzzy uncertainty. Solving this model provides the investor a tradeoff frontier between security return and risk. We model the security return as a triangular fuzzy random variable, where the investor’s individual preference is reflected by the pessimistic‐optimistic parameter λ. We measure the security risk using the hybrid entropy in this model. Algorithm is developed to solve this bi‐objective portfolio selection model. Beside, a numerical example is also presented to illustrate this approach.

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