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Title: Mean-variance portfolio selection with random investment horizon
Authors: Liu, J
Yiu, KFC 
Li, X 
Siu, TK
Teo, KL
Issue Date: Jul-2023
Source: Journal of industrial and management optimization, July 2023, v. 19, no. 7, p. 4726-4739
Abstract: This paper studies a continuous-time securities market where an agent, having a random investment horizon and a targeted terminal mean return, seeks to minimize the variance of a portfolio's return. Two situations are discussed, namely a deterministic time-varying density process and a stochastic density process. In contrast to [18], the variance of an investment portfolio is no longer minimal when all assets are invested in a risk-free security. Furthermore, the random investment horizon has a material effect on the efficient frontier. This provides some insights into the classical mutual fund theorem.
Keywords: Efficient frontier
HJB equations
Mean variance
Random time horizon
Publisher: American Institute of Mathematical Sciences
Journal: Journal of industrial and management optimization 
ISSN: 1547-5816
EISSN: 1553-166X
DOI: 10.3934/jimo.2022147
Rights: © 2022 The Author(s). Published by AIMS, LLC. This is an Open Access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
The following publication Liu, J., Yiu, K. F. C., Li, X., Siu, T. K., & Teo, K. L. (2023). Mean-variance portfolio selection with random investment horizon. Journal of Industrial and Management Optimization, 19(7), 4726-4739 is available at https://doi.org/10.3934/jimo.2022147.
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