Diversified Reward-Risk Parity in Portfolio Construction
Choi Jaehyung (),
Kim Hyangju () and
Kim Young Shin ()
Additional contact information
Choi Jaehyung: 5808 Goldman Sachs & Co. , 200 West Street, New York, NY 10282, USA
Kim Hyangju: 5029 Citigroup, Inc. , New York, NY 11101, USA
Kim Young Shin: College of Business, 12301 Stony Brook University , Stony Brook, NY 11794, USA
Studies in Nonlinear Dynamics & Econometrics, 2025, vol. 29, issue 2, 213-233
Abstract:
We introduce diversified risk parity embedded with various reward-risk measures and more generic allocation rules for portfolio construction. We empirically test the proposed reward-risk parity strategies and compare their performance with an equally-weighted risk portfolio in various asset universes. The reward-risk parity strategies we tested exhibit consistent outperformance evidenced by higher average returns, Sharpe ratios, and Calmar ratios. The alternative allocations also reflect less downside risks in Value-at-Risk, conditional Value-at-Risk, and maximum drawdown. In addition to the enhanced performance and reward-risk profile, transaction costs can be reduced by lowering turnover rates. The diversified reward-risk parity allocations gain superior performance in the Carhart four-factor analysis.
Keywords: portfolio optimization; asset allocation; risk parity; tempered stable distributions (search for similar items in EconPapers)
JEL-codes: C59 G11 G12 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/snde-2023-0012 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:sndecm:v:29:y:2025:i:2:p:213-233:n:1002
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/snde/html
DOI: 10.1515/snde-2023-0012
Access Statistics for this article
Studies in Nonlinear Dynamics & Econometrics is currently edited by Bruce Mizrach
More articles in Studies in Nonlinear Dynamics & Econometrics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().