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Robust mean variance optimization problem under Rényi divergence information.

Authors :
Ding, Ke-wei
Chen, Zhang-you
Huang, Nan-jing
Source :
Optimization; Feb2018, Vol. 67 Issue 2, p287-307, 21p
Publication Year :
2018

Abstract

In this paper, we consider the robust mean variance optimization problem where the probability distribution of assets’ returns is multivariate normal and the uncertain mean and covariance are controlled by a constraint involving Rényi divergence. We present the closed-form solutions for the robust mean variance optimization problem and find that the choice of order parameter which is related to the Rényi divergence measure will not impact optimal portfolio strategy under the cases that the mean vector and the covariance matrix are uncertain, respectively. Moreover, we obtain the closed-form solution for the robust mean variance optimization problem under the case that the mean vector and the covariance matrix are both uncertain. We illustrate the efficiency of our results with an example. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
02331934
Volume :
67
Issue :
2
Database :
Complementary Index
Journal :
Optimization
Publication Type :
Academic Journal
Accession number :
126669906
Full Text :
https://doi.org/10.1080/02331934.2017.1394298