A New Benchmark for Dynamic Mean-Variance Portfolio Allocations
Hugues Langlois
Additional contact information
Hugues Langlois: HEC Paris
No 1368, HEC Research Papers Series from HEC Paris
Abstract:
We propose a new methodology to implement unconditionally optimal dynamic mean-variance portfolios. We model portfolio allocations using an auto-regressive process in which the shock to the portfolio allocation is the gradient of the investor's realized certainty equivalent with respect to the allocation. Our methodology can accommodate transaction costs, short-selling and leverage constraints, and a large number of assets. In out-of-sample tests using equity portfolios, long-short factors, government bonds, and commodities, we find that its risk-adjusted performance, net of transaction costs, is on average more than double that of other benchmark allocations.
Keywords: Portfolio Choice; Mean-Variance; Asset Allocation; Estimation Risk (search for similar items in EconPapers)
JEL-codes: C58 G11 (search for similar items in EconPapers)
Pages: 48 pages
Date: 2020-03-26
References: Add references at CitEc
Citations:
Downloads: (external link)
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3548138 Full text (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ebg:heccah:1368
DOI: 10.2139/ssrn.3548138
Access Statistics for this paper
More papers in HEC Research Papers Series from HEC Paris HEC Paris, 78351 Jouy-en-Josas cedex, France. Contact information at EDIRC.
Bibliographic data for series maintained by Antoine Haldemann ().