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Optimal Asset Allocation: A Worst Scenario Expectation Approach

Yuen, Fei Lung, Yang, Hailiang (2012) Optimal Asset Allocation: A Worst Scenario Expectation Approach. Journal of Optimization Theory and Applications, 153 . pp. 794-811. ISSN 0022-3239. (doi:10.1007/s10957-011-9972-6) (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:97121)

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.
Official URL:
https://doi.org/10.1007/s10957-011-9972-6

Abstract

Mean-variance criterion has long been the main stream approach in the optimal portfolio theory. The investors try to balance the risk and the return on their portfolio. In this paper, the deviation of the asset return from the investor’s expectation in the worst scenario is used as the measure of risk for portfolio selection. One important advantage of this approach is that the investors can base on their own knowledge, information, and preference on various risks, in addition to the asset’s volatility, to adjust their exposure to various risks. It also pinpoints one main concern of the investors when they invest, the amount they lose in the worst situation.

Item Type: Article
DOI/Identification number: 10.1007/s10957-011-9972-6
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 13:20 UTC
Last Modified: 29 Sep 2022 11:19 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/97121 (The current URI for this page, for reference purposes)

University of Kent Author Information

Yuen, Fei Lung.

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