Portfolio Selection with Uncertain Exit Time: A Robust CVaR Approach
Publication Type
Journal Article
Publication Date
2-2008
Abstract
In this paper we explore the portfolio selection problem involving an uncertain time of eventual exit. To deal with this uncertainty, the worst-case CVaR methodology is adopted in the case where no or only partial information on the exit time is available, and the corresponding problems are integrated into linear programs which can be efficiently solved. Moreover, we present a method for specifying the uncertain information on the distribution of the exit time associated with exogenous and endogenous incentives. Numerical experiments with real market data and Monte Carlo simulation show the usefulness of the proposed model.
Keywords
Robust CVaR; Robust portfolio selection; Uncertain exit time
Discipline
Finance and Financial Management | Portfolio and Security Analysis
Research Areas
Finance
Publication
Journal of Economic Dynamics and Control
Volume
32
Issue
2
First Page
594
Last Page
623
ISSN
0165-1889
Identifier
10.1016/j.jedc.2007.03.003
Publisher
Elsevier
Citation
Dashan HUANG; ZHU, Shushang; FABOZZI, Frank; and FUKUSHIMA, Masao.
Portfolio Selection with Uncertain Exit Time: A Robust CVaR Approach. (2008). Journal of Economic Dynamics and Control. 32, (2), 594-623.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/4779
Additional URL
https://doi.org/10.1016/j.jedc.2007.03.003