Robust mean-to-CVaR optimization under ambiguity in distributions means and covariance
Somayyeh Lotfi () and
Stavros Zenios
Additional contact information
Somayyeh Lotfi: University of Cyprus
Review of Managerial Science, 2024, vol. 18, issue 7, No 13, 2115-2140
Abstract:
Abstract We develop a robust mean-to-CVaR portfolio optimization model under interval ambiguity in returns means and covariance. The robust model satisfies second-order stochastic dominance consistency and is formulated as a semi-definite cone program. We use two controlled experiments to document the sensitivity of the optimal allocations to the ambiguity when asset correlation varies, and to the ambiguity intervals. We find that means ambiguity has a higher impact than covariance ambiguity. We apply the model to US equities data to corroborate works showing that ambiguity in mean returns induces a home bias; it can explain the puzzle in a two-country setting but not with three countries. We further establish that covariance ambiguity also induces bias, but with lower impact that can not explain the puzzle. Our results suggest what is needed for the ambiguity channel to provide a full explanation of the puzzle. The findings are robust to alternative model specifications and outliers.
Keywords: Ambiguity; Conditional Value-at-Risk; International portfolios; Equity home bias puzzle (search for similar items in EconPapers)
JEL-codes: C61 C69 D81 G11 G12 G15 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11846-023-00715-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:rvmgts:v:18:y:2024:i:7:d:10.1007_s11846-023-00715-z
Ordering information: This journal article can be ordered from
http://www.springer.com/business/journal/11846
DOI: 10.1007/s11846-023-00715-z
Access Statistics for this article
Review of Managerial Science is currently edited by R. Ewert and W. Kürsten
More articles in Review of Managerial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().