Time-Consistent Investment and Contribution Adjustment Strategies for a Multi-Cohorts Db Pension Plan Under Smooth Ambiguity Utility

26 Pages Posted: 22 Feb 2022

See all articles by Ximin Rong

Ximin Rong

Tianjin University

Peiqi Wang

Tianjin University

Suxin Wang

Tianjin University of Finance and Economics

Hui Zhao

Tianjin University

Abstract

In this paper, we consider the optimal investment and contribution adjustment problem for a multi-cohorts DB pension plan in an environment with parameter uncertainty. Preferences towards risk and ambiguity are modeled using the smooth ambiguity approach. Since the pension trustee is ambiguous about the risky assets, she/he decides to invest in a risk-free asset, a purely risky asset and an ambiguous risky asset whose return is uncertain. The objective is to maximize the expectation of the accumulated adjusted discount contribution and discount terminal wealth under a smooth ambiguity utility which is the double power form. The utility function makes the problem time-inconsistent and we establish the extended HJB equation via game theoretic formulation. The optimal equilibrium strategy and equilibrium value function are derived under smooth ambiguity. Finally, sensitivity analysis of equilibrium strategy is presented to demonstrate the effects of model parameters on the equilibrium strategy.

Keywords: DB pension plan, Multi-cohorts structure, Smooth ambiguity utility, Time-consistent strategy, Equilibrium control law

Suggested Citation

Rong, Ximin and Wang, Peiqi and Wang, Suxin and Zhao, Hui, Time-Consistent Investment and Contribution Adjustment Strategies for a Multi-Cohorts Db Pension Plan Under Smooth Ambiguity Utility. Available at SSRN: https://ssrn.com/abstract=4040578 or http://dx.doi.org/10.2139/ssrn.4040578

Ximin Rong

Tianjin University ( email )

92, Weijin Road
Nankai District
Tianjin, Tianjin 300072
China

Peiqi Wang

Tianjin University ( email )

92, Weijin Road
Nankai District
Tianjin, 300072
China

Suxin Wang

Tianjin University of Finance and Economics ( email )

Tianjin
China

Hui Zhao (Contact Author)

Tianjin University ( email )

92, Weijin Road
Nankai District
Tianjin, Tianjin 300072
China

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