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http://hdl.handle.net/10397/98668
| 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. |
| Appears in Collections: | Journal/Magazine Article |
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|---|---|---|---|---|
| 10.3934_jimo.2022147 (1).pdf | 380.17 kB | Adobe PDF | View/Open |
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