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Optimal Investment in Defined Contribution Pension Schemes with Forward Utility Preferences

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  • Kenneth Tsz Hin Ng
  • Wing Fung Chong

Abstract

Optimal investment strategies of an individual worker during the accumulation phase in the defined contribution pension scheme have been well studied in the literature. Most of them adopted the classical backward model and approach, but any pre-specifications of retirement time, preferences, and market environment models do not often hold in such a prolonged horizon of the pension scheme. Pre-commitment to ensure the time-consistency of an optimal investment strategy derived from the backward model and approach leads the supposedly optimal strategy to be sub-optimal in the actual realizations. This paper revisits the optimal investment problem for the worker during the accumulation phase in the defined contribution pension scheme, via the forward preferences, in which an environment-adapting strategy is able to hold optimality and time-consistency together. Stochastic partial differential equation representation for the worker's forward preferences is illustrated. This paper constructs two of the forward utility preferences and solves the corresponding optimal investment strategies, in the cases of initial power and exponential utility functions.

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  • Kenneth Tsz Hin Ng & Wing Fung Chong, 2023. "Optimal Investment in Defined Contribution Pension Schemes with Forward Utility Preferences," Papers 2303.08462, arXiv.org, revised Sep 2023.
    • Handle: RePEc:arx:papers:2303.08462
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    1. Moris S. Strub & Xun Yu Zhou, 2021. "Evolution of the Arrow–Pratt measure of risk-tolerance for predictable forward utility processes," Finance and Stochastics, Springer, vol. 25(2), pages 331-358, April.
    2. Katia Colaneri & Alessandra Cretarola & Benedetta Salterini, 2022. "Optimal investment and reinsurance under exponential forward preferences," Papers 2210.10425, arXiv.org.
    3. Michail Anthropelos & Tianran Geng & Thaleia Zariphopoulou, 2020. "Competition in Fund Management and Forward Relative Performance Criteria," Papers 2011.00838, arXiv.org.
    4. Sigrid Källblad & Jan Obłój & Thaleia Zariphopoulou, 2018. "Dynamically consistent investment under model uncertainty: the robust forward criteria," Finance and Stochastics, Springer, vol. 22(4), pages 879-918, October.
    5. Daniel Lacker & Thaleia Zariphopoulou, 2019. "Mean field and n‐agent games for optimal investment under relative performance criteria," Mathematical Finance, Wiley Blackwell, vol. 29(4), pages 1003-1038, October.
    6. Luo, Shangzhen & Taksar, Michael, 2011. "On absolute ruin minimization under a diffusion approximation model," Insurance: Mathematics and Economics, Elsevier, vol. 48(1), pages 123-133, January.
    7. Cohen, Asaf & Young, Virginia R., 2020. "Rate of convergence of the probability of ruin in the Cramér–Lundberg model to its diffusion approximation," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 333-340.
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