Dynamic growth-optimal portfolio choice under risk control

This paper studies a mean-risk portfolio choice problem for log-returns in a continuous-time, complete market. It is a growth-optimal portfolio choice problem under risk control. The risk of log-returns is measured by weighted Value-at-Risk (WVaR), which is a generalization of Value-at-Risk (VaR) an...

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Main Authors: Wei, Pengyu, Xu, Zuo Quan
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2025
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Online Access:https://hdl.handle.net/10356/181972
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1819722025-01-09T15:37:30Z Dynamic growth-optimal portfolio choice under risk control Wei, Pengyu Xu, Zuo Quan Nanyang Business School Business and Management Portfolio optimization Log-return This paper studies a mean-risk portfolio choice problem for log-returns in a continuous-time, complete market. It is a growth-optimal portfolio choice problem under risk control. The risk of log-returns is measured by weighted Value-at-Risk (WVaR), which is a generalization of Value-at-Risk (VaR) and Expected Shortfall (ES). We characterize the optimal terminal wealth and obtain analytical expressions when risk is measured by VaR or ES. We demonstrate that using VaR increases losses while ES reduces losses during market downturns. Moreover, the efficient frontier is a concave curve that connects the minimum-risk portfolio with the growth optimal portfolio, as opposed to the vertical line when WVaR is used on terminal wealth, and thus allows for a meaningful characterization of the risk-return trade-off and aids investors in setting reasonable investment targets. We also apply our model to benchmarking and illustrate how investors with benchmarking may overperform/underperform the market depending on economic conditions. Ministry of Education (MOE) Nanyang Technological University Submitted/Accepted version Wei acknowledges financial support through a start-up grant at Nanyang Technological University, the Singapore Ministry of Education Academic Research Fund Tier 1 Grant (RS12/21), and the Natural Sciences and Engineering Research Council of Canada (RGPIN-2020- 07013 and DGECR-2020-00370). Xu acknowledges financial support from the NSFC (No. 11971409), The Hong Kong RGC (GRF 15202421, 15204622 and 15203423), the PolyU-SDU Joint Research Center on Financial Mathematics, the CAS AMSS-PolyU Joint Laboratory of Applied Mathematics, the Research Centre for Quantitative Finance (1-CE03), and internal grants from The Hong Kong Polytechnic University. 2025-01-04T14:35:48Z 2025-01-04T14:35:48Z 2024 Journal Article Wei, P. & Xu, Z. Q. (2024). Dynamic growth-optimal portfolio choice under risk control. European Journal of Operational Research. https://dx.doi.org/10.1016/j.ejor.2024.10.043 0377-2217 https://hdl.handle.net/10356/181972 10.1016/j.ejor.2024.10.043 2-s2.0-85209153018 en RS12/21 NTU-SUG European Journal of Operational Research © 2024 Elsevier B.V. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1016/j.ejor.2024.10.043. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business and Management
Portfolio optimization
Log-return
spellingShingle Business and Management
Portfolio optimization
Log-return
Wei, Pengyu
Xu, Zuo Quan
Dynamic growth-optimal portfolio choice under risk control
description This paper studies a mean-risk portfolio choice problem for log-returns in a continuous-time, complete market. It is a growth-optimal portfolio choice problem under risk control. The risk of log-returns is measured by weighted Value-at-Risk (WVaR), which is a generalization of Value-at-Risk (VaR) and Expected Shortfall (ES). We characterize the optimal terminal wealth and obtain analytical expressions when risk is measured by VaR or ES. We demonstrate that using VaR increases losses while ES reduces losses during market downturns. Moreover, the efficient frontier is a concave curve that connects the minimum-risk portfolio with the growth optimal portfolio, as opposed to the vertical line when WVaR is used on terminal wealth, and thus allows for a meaningful characterization of the risk-return trade-off and aids investors in setting reasonable investment targets. We also apply our model to benchmarking and illustrate how investors with benchmarking may overperform/underperform the market depending on economic conditions.
author2 Nanyang Business School
author_facet Nanyang Business School
Wei, Pengyu
Xu, Zuo Quan
format Article
author Wei, Pengyu
Xu, Zuo Quan
author_sort Wei, Pengyu
title Dynamic growth-optimal portfolio choice under risk control
title_short Dynamic growth-optimal portfolio choice under risk control
title_full Dynamic growth-optimal portfolio choice under risk control
title_fullStr Dynamic growth-optimal portfolio choice under risk control
title_full_unstemmed Dynamic growth-optimal portfolio choice under risk control
title_sort dynamic growth-optimal portfolio choice under risk control
publishDate 2025
url https://hdl.handle.net/10356/181972
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