Dynamic Portfolio Selection Under Quantile Maximization

Although maximizing quantiles is intuitively appealing and has an axiomatic foundation, it is difficult to find the optimal portfolio strategy because of time inconsistency. Using an intrapersonal equilibrium approach and focusing on the class of time-varying affine strategies, we find that the only viable outcome is from the median maximization because for other quantiles, either the equilibrium does not exist or there is no investment in risky assets. We also prove that maximizing the median endogenizes the use of portfolio insurance. The calibration of the model uncovers a new empirical phenomenon: “portfolio share smile.” This paper was accepted by Giesecke Kay, finance. Funding: This research was supported by the General Research Fund of the Research Grants Council of Hong Kong SAR [Grant 14207620], Early Career Scheme of the Research Grants Council of Hong Kong SAR [Grant 25213424], the National Natural Science Foundation of China [Grant 12401622], and the Hong Kong Polytechnic University [Grant P0042708]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.03182 .

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Publication Details

Journal
Management Science
Published
2025-10-21
DOI
https://doi.org/10.1287/mnsc.2023.03182
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21

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article

Dynamic Portfolio Selection Under Quantile Maximization

Xue Dong He, Zhaoli Jiang, Steven Kou
1 citations
Management Science
Stochastic processes and financial applications
2.21
article

Dynamic Portfolio Selection Under Quantile Maximization

Xue Dong He, Zhaoli Jiang, Steven Kou
article en
1 citations

Abstract

Although maximizing quantiles is intuitively appealing and has an axiomatic foundation, it is difficult to find the optimal portfolio strategy because of time inconsistency. Using an intrapersonal equilibrium approach and focusing on the class of time-varying affine strategies, we find that the only viable outcome is from the median maximization because for other quantiles, either the equilibrium does not exist or there is no investment in risky assets. We also prove that maximizing the median endogenizes the use of portfolio insurance. The calibration of the model uncovers a new empirical phenomenon: “portfolio share smile.” This paper was accepted by Giesecke Kay, finance. Funding: This research was supported by the General Research Fund of the Research Grants Council of Hong Kong SAR [Grant 14207620], Early Career Scheme of the Research Grants Council of Hong Kong SAR [Grant 25213424], the National Natural Science Foundation of China [Grant 12401622], and the Hong Kong Polytechnic University [Grant P0042708]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.03182 .

Management Science
Boston University (US), Hong Kong Polytechnic University (HK), Chinese University of Hong Kong (HK)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Stochastic processes and financial applications
2.21
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Dynamic Portfolio Selection Under Quantile Maximization — Xue Dong He, Zhaoli Jiang, et al. · Management Science (2025) | TGRS Research Map | TGRS