Optimal Portfolio Selection of Mean-Variance Utility with Stochastic Interest Rate. (19th November 2020)
- Record Type:
- Journal Article
- Title:
- Optimal Portfolio Selection of Mean-Variance Utility with Stochastic Interest Rate. (19th November 2020)
- Main Title:
- Optimal Portfolio Selection of Mean-Variance Utility with Stochastic Interest Rate
- Authors:
- Li, Shuang
Liu, Shican
Zhou, Yanli
Wu, Yonghong
Ge, Xiangyu - Other Names:
- Ru Yuanfang Academic Editor.
- Abstract:
- Abstract : In order to tackle the problem of how investors in financial markets allocate wealth to stochastic interest rate governed by a nested stochastic differential equations (SDEs), this paper employs the Nash equilibrium theory of the subgame perfect equilibrium strategy and propose an extended Hamilton-Jacobi-Bellman (HJB) equation to analyses the optimal control over the financial system involving stochastic interest rate and state-dependent risk aversion (SDRA) mean-variance utility. By solving the corresponding nonlinear partial differential equations (PDEs) deduced from the extended HJB equation, the analytical solutions of the optimal investment strategies under time inconsistency are derived. Finally, the numerical examples provided are used to analyze how stochastic (short-term) interest rates and risk aversion affect the optimal control strategies to illustrate the validity of our results.
- Is Part Of:
- Journal of function spaces. Volume 2020(2020)
- Journal:
- Journal of function spaces
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11-19
- Subjects:
- Function spaces -- Periodicals
515.7305 - Journal URLs:
- https://www.hindawi.com/journals/jfs/ ↗
- DOI:
- 10.1155/2020/3153297 ↗
- Languages:
- English
- ISSNs:
- 2314-8896
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14985.xml