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Optimal Asset Allocation: Risk and Information Uncertainty

Yam, Sheung Chi Phillip, Yang, Hailiang, Yuen, Fei Lung (2016) Optimal Asset Allocation: Risk and Information Uncertainty. European Journal of Operational Research, 251 (2). pp. 554-561. ISSN 0377-2217. (doi:10.1016/j.ejor.2015.11.011) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:97125)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://doi.org/10.1016/j.ejor.2015.11.011

Abstract

In asset allocation problem, the distribution of the assets is usually assumed to be known in order to identify the optimal portfolio. In practice, we need to estimate their distribution. The estimations are not necessarily accurate and it is known as the uncertainty problem. Many researches show that most people are uncertainty aversion and this affects their investment strategy. In this article, we consider risk and information uncertainty under a common asset allocation framework. The effects of risk premium and covariance uncertainty are demonstrated by the worst scenario in a set of measures generated by a relative entropy constraint. The nature of the uncertainty and its impacts on the asset allocation are discussed.

Item Type: Article
DOI/Identification number: 10.1016/j.ejor.2015.11.011
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Kevin Yuen
Date Deposited: 28 Sep 2022 13:22 UTC
Last Modified: 29 Sep 2022 11:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/97125 (The current URI for this page, for reference purposes)

University of Kent Author Information

Yuen, Fei Lung.

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