Time-consistent and self-coordination strategies for multi-period mean-Conditional Value-at-Risk portfolio selection
Yun Shi and
European Journal of Operational Research, 2019, vol. 276, issue 2, 781-789
The multi-period mean-Conditional Value-at-Risk (mean-CVaR) portfolio decision model is prone to time inconsistency problems that drive CVaR investors away from the pre-committed portfolio strategy, although this strategy is regarded as the global optimal strategy at the initial time point. In the existing literature, authors have proposed time-consistent and self-coordination strategies to solve the time inconsistency issue arising from other sequential decision problems. However, these strategies are rarely studied under the multi-period mean-CVaR portfolio decision framework. This work fills in these gaps by providing both computationally tractable methods and analytical solutions for these strategies. The revealed time-consistent strategy is a piecewise linear function of the wealth level, wherein the other parameters can be computed by solving a series of mixed-integer programming problems off line. The self-coordination strategy can be formulated as a convex program with a quadratic constraint. We also prove that the pre-committed strategy and the time-consistent strategy are the extreme cases of the self-coordination strategy. Furthermore, we extend our main findings to a regime-switching market setting.
Keywords: Investment analysis; Conditional Value-at-Risk; Multi-period mean-CVaR portfolio selection; Time-consistent strategy; Self-coordination strategy (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:276:y:2019:i:2:p:781-789
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().